BAR CODE LABEL RECONSTRUCTION SYSTEM AND METHODOLOGIES

Abstract: A variety of complementary methodologies may be selectively and systematically employed and are capable of reconstructing label information, such as undecodable characters or elements, where label (95) defects may prevent decoding. Such methodologies include reconstruction from partial information (Figure 2), use of edge strength indicators (Figure 4), decoding techniques based on agressiveness, and learning mode for agressiveness level. Distortion of label information due to mechanical aspects of the scanning mechanism may be corrected and feedback from decoding may be used to adapt various signal processing parameters, such as gain and threshold. Decoding of a digital representation of an input signal may be attempted at first with decoding of the part or all of analog signal being undertaken only after a number of attempts at the digital signal prove unsuccessful.

Description: DESCRIPTION BAR CODE LABEL RECONSTRUCTION SYSTEM AND METHODOLOGIES RELATED APPLICATION This application claims the benefit of U.S. Provisional Application No. 60/100,288, filed September 14, 1998, and the following five U.S. patent applications filed September 13, 1999 entitled: Character Reconstruction And Element Level Processing In A Bar Code Scanning System; Correlation And Stitching Techniques In A Bar Code Scanning System; Symbology Determination To Aid Decoding In A Bar Code Scanning System; Decoding System And Methods In A Bar Code Scanning System; and Compensation For Scan Line Variations In A Bar Code Scanner System. COPYRIGHT NOTICE/AUTHORIZATION A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever. SOFTWARE APPENDIX This application includes a Software Appendix section at pages 52 through 155. FIELD OF THE INVENTION The field of the present invention relates to data reading devices and, in particular, to optical code scanners or other label scanning and decoding systems of the type that are designed to read labels having information which may be presented in any one of a number of different codes commonly in use. More particularly, it relates to a system and methodologies for reconstructing complete bar code label information from partial scan information obtained under of variety of non-ideal situations. BACKGROUND OF THE INVENTION Existing labels encode information in a variety of formats and are commonly employed in applications such as inventory control systems and, most familiarly, affixed to consumer goods for retail store check-out, among others. Typically, the information encoded on each label uniquely identifies the product or product line. Such information, once decoded, can be used to identify other information, e.g., price, associated with the labeled object. Optical scanning systems use various apparatus and methods for the purpose of reading such labels, identifying the particular label format, and decoding the information stored in the label. In the case of bar code scanners, for example, a typical system has oner or more light sources, such as a laser or laser diode, which are used to scan the label. Traditional labels are ordinarily composed of a series of parallel dark and light areas, e.g., bars and spaces. A collection subsystem detects at least a portion of the light reflected from the label, distinguishes between dark and light areas, and converts the optical information into an electrical signal that can be recognized by a computer or other electronic system. Labels, e.g., bar codes or other such symbols, commonly include characters (which can, e.g., be alphanumeric) defined by a number of elements, e.g., bars and spaces. For any given symbology, individual characters within a label are comprised of a given number of elements, and the width of each of these elements is expected to be within a known range, thus allowing the character to be reliably decoded. Exemplary of this is the Universal Product Code (UPC) label in which each character is made up of two bars and two interleaved spaces. The width of each character is measured in units called "modules" with each character being seven modules in width. The width of any particular bar or space within the character representation is between one and four modules. The character value depends on the relative width in modules of the two bars and two spaces it comprises. For example, indicating bars with a 1 and spaces with a 0, a sequence of 111 would represent a bar that is three modules in width. If either of the above characteristics is violated (i.e., number of elements per character and/or width of elements in known range), typically the character in question will be considered to be undecodable and the entire scan of data will be discarded. Factors that could cause this are: if an individual element has been split into multiple pieces; multiple elements have been merged into a single piece; or, if the width of an element has been distorted beyond specified boundaries. In any of these instances, some existing systems may require a new scan - discarding the entire scan as unusable - even though only one character may be affected by the degradation. Some codes make use of parity formats to form alternative representations for the digits 0 through 9. These alternate formats may be utilized in different locations on a label thus providing means for verifying accuracy of data. For example, UPC labels, with the exception of UPC-E labels, are comprised of right and left segment halves. Characters in the left segment are of odd parity and, when scanned from left to right, all begin with spaces. Characters in the right segment are of even parity and, when scanned from left to right, all begin with bars. Thus, the character value 5 may be represented as 0110001 using odd parity or 1001110 using even parity. Likewise, the character 3 may be represented as 0111101 using odd parity or 1000010 using even parity. Additionally, many labels utilize feature characters, such as center or guard characters, as delimiters or to separate segments of the label. Most UPC labels, as noted " above, have left and right segment halves. These segment halves are separated by a center band character that typically comprises two single module bars and three interleaved single module spaces. The beginning and end of the label are delimited by a pair of guard characters, each of which typically comprises two single module bars and one interleaved, single module space. The bar/space representations of these feature characters are unique from that of data characters to enhance detection and decoding capability. Furthermore, an unprinted margin area or white space is typically located outwardly of the two guard characters. In addition to the UPC formats, a variety of other label formats exist which vary, among other ways, in structure, content, parity requirements, and type of feature characters. Code 39 and Code 128, for example, are both non-segmented label formats, i.e., they have no center feature characters separating two or more segments of bars. Other label encoding schemes have been developed which have differing pattern structures for the dark and light areas. Exemplary of these latter code types are the stacked bar code formats referred to as Code 49 and PDF 417. As a practical matter, recovering information from optical code labels poses many difficulties that must be overcome by a scanning system. For example, in order to read a label completely, i.e., from left guard character or margin to right guard character or margin, in a single optical pass, the label must be properly oriented with respect to the scanning beam. Failure to read in a single pass, e.g., when a label is mis-framed or read diagonally across a top or bottom border, results in the reading of incomplete or degraded character data and yields partial scans of the label which must be assembled properly in order to formulate valid label information, otherwise the object must be re-positioned and re-scanned until a successful read is obtained. In such cases, data on either end of an input string may be inaccurately read, yet may appear to be an otherwise structurally valid character. Even where a single optical pass does traverse the entire label from left to right, problems in decoding the label may occur, for example, when the label is folded, split, torn or similarly damaged, thus making it difficult to recover label information. Likewise, differences in package configurations, label sizes and locations, and scanner positions, among other factors, serve to exacerbate these problems. As a result, partially read labels are both more likely to occur and more difficult to decipher. In many applications, such as store check-out stands, this translates to a need for high operator concentration and dexterity yet results in non-optimum speed or efficiency, since the operator must take care to ensure that the object to be scanned is properly positioned (or must reposition and rescan repeatedly for a valid reading). As well, the multitude of optical code formats currently in use may require differing methodologies to be used in order to realize ideal " (i.e., optimum speed and efficiency) decoding. In settings where multiple formats may be encountered by the same operator, additional effort and skill may be required to ensure that the system is set for the ideal decoding methodology to be utilized for a particular symbology. Certain methods of assembling or concatenating data read on partial scans have been proposed to address these difficulties. However, existing methods are inherently limited in their ability to detect and correct for inaccurate and, particularly, missing data reads within partial scans. As well, to the extent that some existing systems have devised more aggressive methods of decoding poor quality or damaged labels, such methods are typically employed at the expense of speed and efficiency in processing good quality, clean labels. SUMMARY OF THE INVENTION To address the above and many other problems that may be encountered in order to accurately decode a bar code label, the present system provides for a variety of complementary reconstruction methodologies that may be selectively and systematically employed. Aside from known standard decoding algorithms which provide for direct decoding of clean label information obtained from a single scan, the system and method of the preferred embodiment further provides for implementation of known stitching techniques to combine multiple partial scan fragments into complete labels. In addition, the system provides novel reconstruction methods, which are capable of reconstructing label information such as undecodable characters or elements where label defects may otherwise prevent full information from being decoded. Such reconstruction methods allow for undecodable characters or elements to be reconstructed from partial information based upon known or expected structural characteristics for the particular label symbologies being decoded, as well as through the use of correlation techniques utilizing information obtained from multiple scans of a label. As well, the preferred embodiment offers stitching techniques at the character and element level to aid in the reconstruction of label information. A means of providing for correction of information at the leading and trailing ends of a label, which might otherwise be distorted and unreadable due to mechanical aspects of the scanning line mechanism, is further provided in a preferred embodiment herein to assist in obtaining complete label information in an efficient and accurate manner. In conjunction with such system and methods as indicated above, the preferred embodiment further provides unique features, such as the use of edge strength indicators and quality measures to enhance label readability and bar code scanner decoding capabilities. In another aspect, a preferred embodiment herein provides for systematic selection of the decoding techniques to be employed in the process of decoding particular label symbologies. To this end, any number of differently aggressive decoding techniques may be selected, either manually or automatically, to decode label symbologies. A preferred embodiment provides for decoding of a digital representation of an input signal to be attempted at first with decoding of the part or all of the analog signal being undertaken only after a number of attempts at the digital signal prove unsuccessful. In this manner, system resources and decoding time may be saved. The type of decoding techniques to be employed may also be set, for example, based on aggressiveness, in a preferred embodiment. In one approach, the system may be set up to attempt less aggressive, more secure, techniques (such as standard decoding techniques) first with more aggressive, less secure techniques (such as character/element reconstruction) being implemented sequentially and systematically should a label fail to be successfully decoded after a number of attempts with less aggressive techniques. Alternatively, beginning and/or ending aggressiveness level to be used may be set, by the user or otherwise, based upon the symbology to be read. In another approach, the system may be programmed as to aggressiveness levels to be used. In this regard, a starting aggressiveness level and/or maximum aggressiveness level, or both may be programmed. It is envisioned that such programming may, e.g., be based upon user entry by of information regarding the symbology to be read. In yet another approach, the system may be programmed to learn the aggressiveness level (e.g., starting level, maximum level, or both) to be utilized with respect to a particular group of labels. Such learning may be accomplished, for example, through scanning of an exemplary label with the scanner set in a learning mode whereby the system may assess the appropriate level of aggressiveness required to successfully decode labels of that type. As an alternative to a discrete learning mode, an ongoing learning mode approach may be implemented whereby information about the aggressiveness levels needed to decode would be constantly accumulated as the scanner operates. In accordance with such latter approach, the scanner would adjust itself automatically as label quality changed. In a still further aspect of the present system and methods, feedback from decoding may also be used to adapt various signal processing parameters. For example, gain, threshold and other signal processing parameters may be automatically adjusted within the scanner based upon feedback from decoding in order to enhance future decodability of label information. Through the use of the systems and methods detailed herein, the most efficient means of decoding particular labels may be identified and utilized. In turn, less time is required for the decoding process since the time otherwise required to attempt decoding- which is not likely to be successful may be eliminated. Accordingly, the present system and methodologies provide one or more of the following objects and advantages: — to accurately recognize and decode optical labels; — to provide multiple methodologies for reconstructing complete bar code information from partial bar code information obtained from either a single scan or multiple partial scans; — to provide such multiple methodologies for reconstructing complete bar code information in such a manner that the methodologies are implemented in an order from most efficient to less efficient until complete bar code information is obtained; — to provide accurate assembly of label information from multiple partial scans with confidence that the entire label has been scanned, no data has been duplicated, and the data has been put into the correct order; ~ to have the capability and versatility to reconstruct labels of various formats including multi-block labels as well as single-block labels and others; — to improve reconstruction performance by using symbology characteristics and detected label information to build up labels with a valid high level structure; — to allow a bar code scanner to stitch label fragments that have some undecodable characters present; ~ to stitch symbologies configured for variable length; ~ to allow less stringent stitching requirements for fragments that are decoded from consecutive scans compared to fragments that are decoded from non-consecutive scans; — to perform reconstruction of label information in a speedy and efficient manner while alleviating pressure on scanner operator to accurately align the labeled object; — to increase read successes and improve accuracy of reconstruction in situations where label condition is degraded by tears, splits, folds, spots, voids, etc.; — to provide a system and methodologies for decoding labels whereby more aggressive decoding techniques may be implemented only after less aggressive techniques fail; and, — to provide a system and methodologies whereby the appropriate aggressiveness level to be used for decoding particular symbologies may be learned by the system. Other objects and advantages of the present system and methodologies will become apparent from a review of the accompanying drawings and the detailed description that follows. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a graphical representation illustrating exemplary Element Width Histograms in accordance with an aspect of the system and methodologies herein. Figure 2 is a flow chart diagram illustrating exemplary functional blocks for decoding with character reconstruction in accordance with the system and methodologies herein. Figure 3 illustrates an exemplary poor quality label upon which an aspect of the character reconstruction methodologies herein may be advantageously implemented. Figure 4 is a flow chart diagram illustrating further exemplary functional blocks of one implementation of character reconstruction in accordance with system and methodologies herein. Figure 5 pictorially represents exemplary processing of scan lines using correlation and stitching techniques in accordance with the system and methodologies herein. Figure 6 is a flow chart diagram illustrating the functional blocks of exemplary merge and stitching aspects of the systems and methodologies herein. Figure 7 is a flow chart diagram illustrating a portion of the functional blocks of an exemplary element level processing with quality measuring routine in accordance with the system and methodologies herein. Figure 8 is a flow chart diagram illustrating a second portion of the functional blocks of an exemplary element level processing with quality measuring routine in accordance with the system and methodologies herein. Figure 9 is a flow chart diagram illustrating a portion of the functional blocks of an exemplary increased aggressiveness level decoding through time process implemented in accordance with the system and methodologies herein. Figure 10 is a flow chart diagram illustrating a second portion of the functional blocks of an exemplary increased aggressiveness level decoding through time process implemented in accordance with the system and methodologies herein. Figure 11 is a flow chart diagram illustrating a third portion of the functional blocks of an exemplary increased aggressiveness level decoding through time process implemented in accordance with the system and methodologies herein. Figure 12 is a flow chart diagram illustrating a fourth portion of the functional blocks of an exemplary increased aggressiveness level decoding through time process implemented in accordance with the system and methodologies herein. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT The preferred system and methodologies provided herein utilize Element Level Processing as well as Character Level Processing as a basis for the reconstruction and decoding techniques provided. — ELEMENT LEVEL PROCESSING Element Level Processing is accomplished in an aspect of the preferred embodiment through the use of an Element Width Histogram, as illustrated in Figure 1 and described hereinbelow, wherein the widths of the elements of a bar code are captured in a data store on a width basis. The bar code scanner may be enabled to maintain histogram information for a number of potential labels. Such information may, for example, be utilized in order to aid in the decoding of poor quality labels. It is envisioned that separate histogram information may be kept for bars and spaces of each potential label and that information may be collected and maintained for a number of label scans. As further detailed throughout this specification, such histogram information may be used to determine the number of element widths in the label as well as average element widths. In addition, such histogram information may be helpful in determining symbology, i.e., for example, whether a particular label being scanned comprises a binary or a multi-width symbology. Optionally, the scanner may further capture edge confidence levels along with element edge times. Typically, bar code scanners collect only edge timing information that may then be utilized to determine, for example, element widths. However, use of edge timing information alone may limit the ability of such scanners to decode poor quality labels whose edges may be distorted. While other scanners may exist that collect edge strength information as well, these scanners typically involve making multiple passes through the data at different threshold levels using standard decoding algorithms. As provided further hereinbelow, label reconstruction decoders may include an edge-matching algorithm, which may be invoked when attempting to decode poor quality labels. When bar code data is not decodable using a standard decoding algorithm, this algorithm will attempt to determine the encoded character based upon the edge timing information. In a further aspect of the preferred systems and methods herein, edge strength information may be collected for use in conjunction with the reconstructive decoding algorithms and may be made available to the edge-matching algorithm, thus increasing the probability of correctly decoding the character in question. Such technique would require only a single pass through the data, using more sophisticated reconstructive decoding algorithms, thus being more efficient and increasing the probability of correctly decoding the bar code with fewer scans of data. In turn, the ability of the bar code scanner to decode label data that may not be decodable using standard decoding algorithms may be improved. Edge strength, or confidence levels, for each element may be determined through many methods. One confidence indicator is the first derivative strength of the return laser signal. Edge confidence level information can also be used to calculate an average edge- confidence level for the common elements of the label. The average edge confidence level may be calculated for binary and multi-width symbologies using the edge confidence levels of the element widths selected for binary and multi-width symbologies, respectively. It is noted that edge confidence level information may be advantageously utilized at different points in the scanning and decoding process. Such edge confidence level information may further advantageously be generated in different ways at the different points in the process. For example, when generating the histogram, the confidence level of an element might be simply the comparison of that element's edge strength with average element edge strength. In the decoders, though, the confidence level of an element might be the product of the deviation of an element's width from a target and the deviation of an element's edge strength from a target. In the correlation and stitching process, the confidence level of a character might, in turn, be the sum of the confidence levels of the individual elements. Still further variations of generating confidence levels may be envisioned by one skilled in the art. Further in regard to the use of information that may be obtained through the histogram analysis as set forth herein, the number of element widths may, for example, be utilized in determining the symbology that is being scanned so that the correct symbology specific decoder may be executed. Alternatively, the number of element widths may provide the means for rating enabled symbologies to be executed in order as further detailed herein. The average element widths may, for example, be utilized to help find characters and/or start/stop patterns in poor quality labels and/or to set acceptable ranges for element widths within the label. The average edge confidence level may, for example, be utilized to help identify the significant edges of the label and to filter out noise edges in the label. The number of elements in a given range of widths is stored. The total sum of the widths in a given range may also be stored. In establishing the histogram parameters, a minimum range for element widths may be determined, for example, by using 1/4 of a narrow element in the start stop pattern. As indicated previously, histogram information may be maintained for a number of potential labels. In such case, a separate histogram is kept for bars and spaces of each potential label. Upon commencement of collection, histogram information is collected for sets of label scans, e.g., each set of four label scans. In accordance with a preferred embodiment, the histogram analysis comprises three primary steps: gathering the element width data and, optionally, confidence level information for the element edges; finding the peaks in the histogram; and, decoding the peaks in the histogram. A representative overview of the histogram information that may be maintained in accordance with a preferred embodiment herein may be understood as- follows. As noted, histogram information may be maintained for a number of potential labels. The histogram may be envisioned as having a series of buckets wherein each bucket represents elements of a particular range of element widths. It is intended that the series of buckets in the histogram cover the possible element widths for a particular potential scanned label. Separate histograms may be kept for bars and spaces of each potential label. Several scans of a potential label may be combined in the histograms to provide a larger set of elements for the histograms. With respect to the first step of gathering element width data, the quiet zones of a potential label are first identified, e.g., in accordance with known methods. Then, when the elements of a potential label have been identified, the element width data is gathered and the element widths are added to the histogram. If enabled, as indicated above, optional confidence levels may also be added to the histograms. The histogram information is updated with the number of elements in each bucket of the histogram, as well as the total sum of all elements in the bucket. Thus, the histogram information may include, for example, the number of elements in each bucket, the total sum, optionally the edge confidence level of the elements in each bucket, and the element width range for each bucket. In addition to application as detailed above, confidence level information may further be utilized as a filter to help determine which data is accepted into the histogram. For example, elements of a potential label may be identified and the average edge strength of such elements may then be determined. If the edge strength of any particular individual element being examined for addition to the histogram is not within a calculated tolerance of the average edge strength, that element would not be included into the histogram. In this manner, the confidence that the histogram would be generating accurate information for use in later processing is increased. Figure 1 provides an exemplary graphical representation for an Interleaved 2 of 5 Label histogram 5 along with an exemplary graphical representation for a UPCA Label histogram 10. The histograms 5 and 10 record information regarding the number of elements 15 within enumerated ranges of element widths 20. It is noted that the histograms 5 and 10 illustrate the low end of element width ranges and that additional ranges that are not shown may include additional information. Further, the values that are indicated for the range of element widths 20 represent the lower value of that corresponding range (thus, the value 156 is shown below the range which is from 156 through 232). As may be seen from Figure 1, separate bar information 25 and space information 30 is gathered, maintained and recorded. By way of example, it may be seen that the space information 30 for the Interleaved 2 of 5 label histogram 5 shows that with respect to the 1244 range 35 the number of elements 15 is recorded as a 10 value 40> Thus, 10 space elements falling within the 1244 range 35 have been recorded and identified in relation to Interleaved 2 of 5 label scans by the system. With respect to the second step of finding peaks in the histogram, a first preferred method is to generate 2-bucket sums of the number of elements in the buckets for the bar and space histograms. The 2-bucket sums are then searched to find all peaks and an average element width is calculated for each peak. Peaks may then be selected by choosing all 2-bucket sums that are greater than both neighboring 2-bucket sums. If there is a set of 2-bucket sums that are equivalent but greater than the 2-bucket sums neighboring the set, the middle bucket of the set may be selected as a peak. Alternatively, a second method utilizes the confidence levels of elements as indicated above, instead of the number of elements, and follows the same steps described above in relation to 2- bucket sums to identify peaks in the histogram information. While alternate preferred methods for finding peaks in the histogram are set forth above, it is noted that many other possible methods for finding histogram peaks may be envisioned and implemented without departing from the spirit and scope of the systems and methods as set forth herein. With respect to the third step of decoding peaks of the histogram, the average element width for each peak is calculated and stored. Element averages of the peaks and their relative spacing, the number of elements in the peak, and the similarities between bars and spaces may be utilized to determine which peaks could represent the element widths for the label. Based on the results obtained, the type of symbology may be identified as binary, multi-width, or unknown. Thus, the peaks may be decoded to determine the ones that represent binary and/or multi-width symbologies. Peaks of the histogram may be decoded by matching element widths of the peaks with potential element widths for either binary or multi-width symbologies. Wide to narrow ratios of element widths may, for example, be used to find such match. A further component of such match may be which element widths are the most common in the histogram or which element widths have the largest confidence level. A still further component of such match may be which element widths are common to both the bar and space histograms. The consistency of bar and space element widths and the number of unused histogram peaks may be used to determine the quality of the identified element widths as either binary element widths or multi-width element widths. The quality of the element widths may, in turn, help to determine the type of symbology. With reference back to Figure 1 , the manner in which the histogram information may yield a determination of the type of symbology (binary or multi-width) may be understood through the following example. To determine if a binary symbology is- represented by a histogram, the biggest peaks for bars and spaces are considered. The Interleaved 2 of 5 Label histogram 5 of the top graph of Figure 1 represents a binary symbology. Considering the two biggest peaks of the Interleaved 2 of 5 Label histogram 5 of Figure 1, the biggest bar peaks are approximately at widths 349 and 816. The biggest peaks for spaces are at widths 582 and 1049. By observing that the 349 bar peak is close to the 582 space peak and the 816 bar peak is close to the 1049 space peak, it may be determined that the 4 peaks are very good candidates of a binary symbology. In addition, the difference in widths of the bars (816 - 349 = 467) is very similar to the difference in widths of the spaces (1049 - 582 - 467). Another observation is that the wide to narrow ratio of the bars (816 / 349 = 2.3) and spaces (1049 / 582 = 1.8) are similar to each other and are within acceptable tolerances (i.e., 1.5 to 5.0) for binary symbologies. The consideration of multi-width symbologies follows a similar approach. However, for multi-width symbologies there are normally 4 widths that have width ratios of 1:2:3:4 for widthl:width2:width3:width4. The comparison between two widths in a binary symbology must be extended to three or four widths in a multi-width symbology. At least the first 3 widths of a multi-width symbology are normally required to be represented by peaks in the histogram for a multi-width symbology to be detected. If only a binary symbology is detected, a binary symbology is the result. If only a multi-width symbology is detected, a multi-width symbology is the result. If both a multi- width symbology and a binary symbology are detected, a multi-width symbology would be the result because widthl and width2 of a multi-width symbology looks just like a binary symbology. In a further aspect, the use of variable element congruence may allow a range to be set for each element size, may be utilized with respect to either binary or multi-level codes, and may allow the decoder to be adjusted for aggressiveness vs. adherence to specification. The use of variable element congruence may better be understood as detailed hereinbelow. A typical method of decoding bar codes is to compare each element width with a set of thresholds to create a normalized set of element widths that may then be compared against tables of valid characters for that symbology. The thresholds for each normalized element size determine the degree of congruence of the elements accepted as that width. By varying these thresholds, it is possible to allow the decoders to be more aggressive at the risk of increased misreads, or to be more conservative but at the risk of not reading some labels of marginal quality. For example, when decoding Code 39, possible narrow element widths for one character could be 77, 85, 98, 105, 110 and 122, while wide elements widths could be 273, 298 and 312. Thresholds that would correctly decode this character could be 70 to 130 for narrow elements, and 270 to 330 for wide elementsr- However, this character has a wide to narrow ratio that is greater than allowed according to the specification for this symbology. Therefore, adjusting the thresholds such that this character would decode also increases the likelihood of decoding errors. Because of this, the option of adjusting the thresholds for aggressiveness versus adherence to specification, as further detailed herein, could be made accessible to the user, and implemented as needed according to knowledge of the quality of labels being scanned. UPFRONT SYMBOLOGY DETERMINATION Determining the correct symbology or eliminating symbologies up front can result in minimization of the decoding and reconstruction time. The preferred embodiment attempts to determine the symbology type as the label data is being collected. To this end, one or more of the techniques identified below may be used to determine the symbology type after leading and trailing quiet zones have been identified. It is envisioned that the likelihood of a specific symbology type(s) may also be configured by the customer or otherwise to aid in symbology determination. 1. Looking at the start and stop pattern of potential labels and comparing such patterns to those of known enabled symbologies. 2. Using the element width histogram to determine if the symbology is binary or multi- width as detailed hereinabove. 3. Looking at the number of elements in potential labels to determine if it is a possible length for specific enabled symbologies. 4. Determining which symbologies could have a label of the length, e.g., in time, observed in the potential label. 5. Using the element counts determined by the histogram and the total count for the entire label to calculate the length for comparison to a specific enabled symbology. 6. Looking at the number of characters that were decoded in previous scans (in which case characters from some symbologies may be assigned more weight than others, or symbologies with the most decoded characters may be assigned a higher weighting than other symbologies). 7. Using the average element widths determined by the histogram to determine if the time count of the entire label accommodates the start, stop, and a number of character widths for a specific enabled symbology. 8. Using historical reading patterns to weight the probable symbology to read. 9. Identifying the number of labels historically decoded for each enabled symbology. 10. Utilizing character equality checks. In accordance with the preferred system and methods herein, the bar code scanner attempts to determine the symbology type after leading and/or trailing bars of a label or label segment have been identified. Potential symbologies of the label data are identified and ordered, e.g., with the most probable ones first, using a variety of the above and other indicators as further described hereinbelow. The potential symbologies are ordered with the most probable ones first so that the symbology decoders with the highest chance of success may be executed first. It is envisioned that in some cases the symbology decoders for the lowest probable symbologies may optionally not be executed at all. Such operation allows the scanner to spend more time decoding the label data for specific symbologies compared to previous scanners where decoding of each enabled symbology was attempted for every set of label data. Particularly with respect to poor quality labels, the determination of the symbology allows the scanner to spend more time decoding the poor quality label with the correct decoder and skip some of the decoders that have a minimal chance of success. Such operation further allows the scanner to discard some label data if none of the indicators show a probable symbology. In accordance with the preferred embodiments herein, the bar code scanner determines ratings from each indicator for each symbology type. The ratings are then accumulated for each symbology and are put in order (e.g., highest ratings to lowest ratings). The decoders from the symbologies with the highest ratings are executed first. The decoders from symbologies with the lowest ratings are executed last or, as indicated previously, may not be executed at all. The indicators envisioned by the present system and methods include: start/stop pattern, element width histograms, number of elements in label, length of label in time, number of labels decoded for each symbology, number of characters decoded in previous scans for each symbology, and character equality checks. The manner in which each indicator may be utilized in accordance with a preferred embodiment herein is further described below. It is noted that multiple indicators may be used to determine the symbology of poor quality labels. With respect to the start/stop pattern, the templates for the start and/or stop patterns of enabled symbologies are compared against the leading and trailing bar and space elements of the label. The template comparison may allow for missing elements, extra elements, and elements that may be the wrong size. The symbologies with start stop patterns that match the best will have the highest rating. With respect to element width histograms, ratings from the element width histogram, as detailed above, may be utilized to provide an indication of which symbologies are the most probable. With respect to the number of elements in the label, the number of elements in the label may be matched against the set of possible numbers of elements for each enabled- symbology. A rating for each symbology results. It is noted that this indicator will be accurate when there are no spots or voids in the label. With respect to the length of the label in time, the element width histogram may be utilized to determine the element widths of the label. The character length and start/stop pattern length for each symbology may also be determined using the element widths from the histogram. The length of the label in time will be compared against the possible combinations of character lengths and start/stop pattern lengths for each enabled symbology to determine if the label is a correct length for each symbology. The closeness to a correct length may be used to determine the rating of each symbology for this indicator. With respect to the number of labels decoded, the number of labels that have been decoded for each symbology may be used to determine a rating of each symbology. With respect to the number of characters decoded in previous scans, such number of characters decoded may be used to cause a rating to be generated for each enabled symbology indicating the most probable symbology for future scans of the correct label. To this end, as the scanner decodes data from scan lines it will keep track of the number of characters decoded in each enabled symbology. With respect to character equality checks, the bar code scanner may check for character equality across a portion or all of the label data for each enabled symbology. A rating for each enabled symbology may be generated based on the character equality results. One method of implementing indicator ratings for symbology detection is to set each indicator to generate a result from 0 to 99 for each symbology wherein, for example, highest numbers indicate highest probabilities and lowest numbers indicate lowest probabilities. In addition, each indicator will have a weight, for example, from 1 to 10 for each symbology. To determine the symbology with the highest probability of success, a result will be generated for each symbology by obtaining the sum of the products of each indicator result and its corresponding indicator weight. Implementation of indicators to determine symbology type may be better understood through the following exemplary illustration. For purposes of such example, a system utilizing start/stop patterns, the histogram, and number of elements as indicators of symbology type may operate as follows. First, with respect to each indicator that is utilized, a weighting factor is established and set for that indicator in relation to each potential enabled symbology, respectively. Thus, with respect to start/stop patterns, a weight of 2 for a UPCA symbology and 10 for a Code39 symbology may be assigned. With respect to the histogram, a weight of 8 for a UPCA symbology and 5 for a Code39 symbology may be assigned. With respect to the number of elements, a weight of 4 for a" UPCA symbology and 2 for a Code39 symbology may be assigned. It is further assumed that both the UPCA and Code39 symbologies are currently enabled in the system of this example. When a section of label data is being considered, the results of the various indicators are generated and analyzed. The following results are assumed to have been generated for the various indicators in relation to the UPCA symbology and the Code 39 symbology. With respect to UPCA: start/stop pattern = 40, histogram = 75, and number of elements = 20. With respect to Code 39: start/stop pattern = 60, histogram = 40, and number of elements = 40. Accordingly, the sum of products for UPCA is: 760 (i.e., 2 * 40 + 8 * 75 + 4 * 20) and the sum of products for Code39 is: 880 (i.e., 10 * 60 + 5 * 40 + 2 * 40). Such symbology detection would indicate that the Code 39 symbology is the best choice with the UPCA symbology being the second choice for a symbology. It may be readily seen that the above example may be expanded to include additional indicators, as identified above, and/or that additional symbologies may be enabled and included in the symbology determination. CHARACTER LEVEL PROCESSING In accordance with the systems and methods herein, the scanner decodes as many characters of a bar code as possible from a single scan of the label. However, some characters may not be decodable due to a poor quality or damaged label, or as a result of the laser beam exiting the area of the label during scanning. If the scanner cannot decode a character, it advances to the next decodable character in the scan line to continue decoding. As utilized herein, the following terms are defined as: A Full Length Label is one that has been decoded over its entire, known length. A Fragment is a label that has been decoded over part of the entire length. A Label comprises either a Full length label or a Fragment. A Decoded Character is a character that has been successfully decoded within a Label. An Undecodable Character is a character which has not been successfully decoded, e.g., due to defects in the label at the location of such character that prevent decoding. An Undecodable Character Identifier is a special identifier that is set with respect to an Undecodable Character(s). Stored Labels are Fragments and Full Length Label characters that are stored during the processing of Labels. Additionally, a store is established for each character position to store the number of scans that have included the stored character. A Correlation Store is a store for all Full length labels and Fragments that are candidates for correlation when new labels are processed. In one embodiment, a separate " correlation store may be established for a left Fragment and a right Fragment in each symbology. Alternatively, a list of Labels could be implemented such that the list comprises Labels that could be merged with a new Label. In such latter instance, sufficient storage is provided for Labels in the list that won't merge. Merging Length is the number of characters that will be merged when Fragments and Full length labels are merged. Variable Length is an attribute of some symbologies that have Labels with lengths in a certain range. This set also includes variable length symbologies that have been configured in the scanner to have a limited range of lengths. Fixed Length is an attribute of some symbologies where there is only one possible length of the label. This set also includes the variable length symbologies that are configured in the scanner to read only a certain number of lengths. Overlapping Region is the section at the end of each Fragment that overlap in the stitched label when two Fragments are being considered for stitching. Matching Decoded Characters are the characters of the Overlapping Region that match in value and position in each Fragment when two Fragments are being considered for stitching. Non-Matching Decoded Characters are the characters of the overlapping region that are not Matching Decoded Characters in each Fragment when two Fragments are being considered for stitching. CHARACTER EQUALITY, RECONSTRUCTION, CORRELATION AND STITCHING CHARACTER EQUALITY (i.e., does character have correct width?) Character equality is further utilized by a preferred embodiment in the process of reconstructing Undecodable Characters. When decoding a label, the decoder steps through the label data a character at a time. In accordance with one aspect of the system and methodologies herein, the character width, instead of the number of elements, is used to find the next character. The expected character width can be determined, e.g., by using the previous character width, or a multiple of a previous element width, or a multiple of the widths identified by the histogram. If there is not a bar-to-space or space-to-bar transition at the expected location, the decoder may be set to assume a transition and attempt to decode a character. Alternatively, the decoder may skip to the next expected character boundary and look for a transition prior to attempting a character decode or reconstruction. When checking for character equality, the number of elements required to match the previous character width is determined. If this number is not correct, then it is determined that some of the elements are corrupted and the character cannot be decoded as " it is. For example, a Code 39 label requires nine (9) elements to match the width. Thus, if the number of elements identified with respect to the undecoded character is not nine (9), then the character cannot be decoded as it is and some reconstruction technique must be utilized to determine the value of the undecoded character. At an element level, the system and methodologies herein may determine whether or not the pattern of bars and spaces in a particular character being decoded match a pattern in the valid character set. CHARACTER RECONSTRUCTION In accordance with a further aspect of the system and methodologies herein decoding of poor quality labels through reconstruction of normally undecodable characters is provided. To this end, scans in which an individual character containing a corrupted element(s) are identified, and which might otherwise result in the entire scan being discarded, may be identified and decoded by reconstructing the originally intended element widths and structure from the corrupted data. Thus, in situations wherein either the expected number of elements for a character, or the expected range of widths for each element of a character, is violated (e.g., as a result of an individual element being split into multiple pieces, multiple elements being merged into a single piece, or the width of an element being distorted beyond specified boundaries), the system and methodologies accept such undecodable character among other decodable characters and, through knowledge of the width of the total character, and the specifics of the symbology, determines expected widths for the elements in the character. By comparing the actual element widths against the expected widths, it may be possible to determine which elements may be in error, and what the most likely intended widths and structure of those elements may be. The element widths and structure may then be reconstructed and the reformed character decoded. One advantage of this technique over others is that it allows a label to be decoded from a single scan of data, while other similar concepts require multiple scans of data for comparison. Character reconstruction is accomplished, e.g., by ordering the width of the elements of a character. The number, placement, and size of wide and narrow elements may be used to determine which elements should be combined or adjusted to make a valid character for a specific symbology. Alternatively reconstruction may be accomplished through comparison of the bar-space pattern of the undecodable character against all possible characters for the symbology. A measurement of the comparison identifies the closest match. This measurement is then stored across scan lines with the character correlation information. When the closest character is seen a number of times, it is accepted. The measurement method could be the total count error in the comparison of the character's bar-to-space and space-to-bar transitions to that in the collected data. If there are extra transitions in the collected data, they are ignored because they are probably spots or voids. The flow diagram of Figure 2 illustrates exemplary functional blocks for decoding with character reconstruction in accordance with the system and methodologies herein. As illustrated in Figure 2, the system first checks, at step 1 45, to determine if a character in question has the correct number of elements. If it does, then the system checks, at step 2 50, whether the pattern of those elements match a character. If so, then the system proceeds to step 7 55 to store the character value and complete the processing at step 8 60. If the correct number of elements is not identified at step 1 45, then category thresholds are set based on the character width at step 3 65, elements are sorted into the categories at step 4 70, and the elements are reconstructed according to specified rules at step 5 75. After such processing, the system then checks whether the new element pattern matches a character at step 2 50. If so, that character value is stored at step 7 55 and processing is completed at step 8 60; if not, an Undecoded Character Identifier is stored at step 6 80 and processing is completed at step 8 60. Further exemplary aspects of possible reconstruction methodology operation are detailed hereinbelow. It is further envisioned that many different rules may be applied to a reconstruction character with the different rules being weighted for later choosing. Alternatively, one kind of reconstruction may be assigned to be performed on a given label based upon an assumption that such label is likely to have a single type of problem, or to be amenable to a particular rule of reconstruction. For example, if one character can not be decoded but a check digit is available, the check digit may be utilized to reconstruct the missing character. As well, moving edges may be classified at a different level than eliminating or adding edges. With reference to reconstruction of a Code 39, an exemplary reconstruction methodology includes a first step of determining which elements in the character are corrupted. To this end, category thresholds may be calculated and set, based on character width, to allow the elements to be categorized as valid or invalid. For example, and with reference to Figure 3 which illustrates a sample low density thermal printed Code 39 label 85 with gaps and voids 90, to allow the wide to narrow ratio to be a value between 1.7 and 4.0, the thresholds for a label element would be set at CW/18 - CW/11 for a narrow element and CW/11 * 1.7 - CW/18 * 4 for a wide element, where CW = character width. Elements are then sorted into the categories by comparing each element in the character with the thresholds; the elements are then sorted into the different buckets. For example, in Code 39 the different buckets could be established as: TN = Too Narrow; N = Narrow; NNE = Not Narrow Enough; NWE = Not Wide Enough; W = Wide; and TW = Too Wide. The appropriate rule set may then be applied to the results of the sorting to reconstruct the " elements. For example, TN + TN + NWE = W. If the reconstructed element does not match a valid character then an Undecodable Character Identifier marker, as further described hereinbelow, is stored in the buffer and processing continues. For the character outlined in Figure 3, the element values with respect to the label section 95 are: 594 592 590 1449 1410 625 210 237 1009 576 570 and the Character Width is 7862. Using the thresholds defined above for Narrow and Wide elements, the following thresholds are calculated to be: Narrow = 436 - 714 Wide = 1215 - 1747 Sorting the eleven "elements" (i.e., "element" a 100, "element" b 105, "element" c 110, "element" d 105, "element" e 120, "element" f 125, "element" g 130, "element" h 135, "element" i 140, "element" j 145, and "element" k 150, of the label section 95) using the above thresholds yields: N N N W W N TN TN NWE N N Applying the rule TN + TN + NWE = W the character is reconstructed as: N N N W W N W N N which can then be correctly decoded. Thus, it may be seen that the above character reconstruction process results in combining "element" g 130, "element" h 135, and "element" i 140 as a single bar element that has been reconstructed to ignore the gap 155 which would otherwise have erroneously been identified as "element" h 135. In accordance with further aspects of the system and methodologies herein, edge matching, element filling, and element splitting may be utilized in character reconstruction of poor quality labels. As indicated previously, reconstruction allows the scanner to read poor quality labels with data from one scan line so the reading speed is faster. The decoder attempts to decode each label of a character. If a character cannot be decoded using standard decoding techniques, e.g., as a result of a poorly printed, distorted or worn label, then the following exemplary methodology may be utilized to reconstruct the character. The steps of the exemplary reconstruction methodology include: identifying the character elements, finding matches between element edges and character templates, filling appropriate elements, and splitting appropriate elements. The steps are described in the following pages. The flow diagram of Figure 4 illustrates the exemplary functional blocks of one implementation of character reconstruction in accordance with system and methodologies herein. With reference to Figure 4, character elements are identified in a first step 160. To this end, the decoder uses the first few elements of a label, or historical information, to determine the character width for a new character. The character width is used to identify" the element edge of the new character that is closest to the element width. If the character width of the new character is different from the original estimate by more than a specified amount, the data of the new character is adjusted at the character boundary to correct the error. By way of example, the characters of the UPC symbology are comprised of a fixed number of modules with each module width being a known specified fraction of the character width. When decoding such symbology in accordance with the approach herein, if a decoded character is found to vary in width from the previous character by more than 1 module width, the character boundary may be adjusted by the appropriate amount to restore the overall character width to the correct number of modules. In a second step 165, once the character elements are identified, the system attempts to find matches between element edges and character templates. For this purpose as well, the decoder uses the first few elements of a label, or historical information, to determine the expected element widths for all possible element widths of the current character. The expected element widths are used to expand the normalized templates for all characters of the symbology. A comparison is made between each character of the symbology and the current character. The distance between the element edges of the current character and the expanded templates are used to determine which symbology characters are the closest match to the current character. In a third step 170, the system determines whether or not there is only one acceptable match between element edges and character templates. If so, there is only one symbology character that is within a satisfactory amount of difference from the current character. Thus, that match is accepted and the corresponding character identifier is loaded into the label buffer (as provided in step nine 175 below). Character reconstruction is then complete and the system exits the routine at the exit step 205. If there was not only one acceptable match between element edges and character templates, then there may be multiple symbology characters that match the current character and the system proceeds to step four 180. In the fourth step 180, the system attempts to fill appropriate elements. For example, if there are more element edges than are required by this character, the system determines which element to change from a bar to a space or a space to a bar. When one element is switched, two element edges are removed. To this end, several rules may be utilized to guide the decision about which element to switch. For example, a first rule may be that the decoder should give a higher priority to changing a narrow space to a bar than changing a narrow bar to a space. As well, a second rule may be that the decoder should give a higher priority to changing very narrow elements compared to changing wider elements. It is envisioned that other rules may be readily devised and employed with a mind toward specific symbologies to be decoded. Once changes are determined and " " completed, the system then proceeds to step five 185. In the fifth step 185, the system determines whether or not the character resulting from the fill operation changes made in step four 180 is acceptable. To this end, the decoder checks for a match with symbology characters. If the character with filled elements matches a symbology character, then that match is accepted and the corresponding character identifier is loaded into the label buffer (as provided in step nine 175 below). Character reconstruction is then complete and the system exits the routine at the exit step 205. If the character with filled elements does not match a symbology character, the system proceeds to step six 190. In the sixth step 190, the system attempts to split appropriate elements. For example, if there are not enough elements for this character, one or more ol ' the elements must be split. Various information and rules may be utilized to guide the decision about which element(s) to split, including: the type of elements of a character in the current symbology; the type of elements of the current character; and/or the elements that are not within a certain range of a valid element widths. It is envisioned that other criteria may be readily devised and employed with a mind toward specific symbologies to be decoded. Once changes are determined and completed, the system then proceeds to step seven 195. In the seventh step 195, the system determines whether or not the character resulting from the split operation changes made in step six 190 is acceptable. To this end, the decoder checks for a match with symbology characters. If the character with split elements matches a symbology character, then that match is accepted and the corresponding character identifier is loaded into the label buffer (as provided in step nine 175 below). Character reconstruction is then complete and the system exits the routine at the exit step 205. If the character with split elements does not match a symbology character, the system proceeds to step eight 200. In the eighth step 200, the system has determined that an acceptable character could not be reconstructed. Accordingly, the Undecodable Character Identifier is loaded into the label buffer. Character reconstruction is then complete and the system exits at exit step 205. In the ninth step 175, the instant system has determined, from either step three 170, step five 185 or step seven 195, that an acceptable character could be reconstructed. Accordingly, the appropriate identifier for that character is loaded into the label buffer. Character reconstruction is then complete and the system exits at exit step 205. CHARACTER CORRELATION AND STITCHING In accordance with a still further aspect of the system and methodologies herein, character correlation across several scans is provided. Utilizing such techniques, character information from multiple scans are merged without requiring overlap as in past practices. As in the case of reconstructing single scan lines above, where multiple scan lines are merged using the character correlation techniques herein, the scanner decodes all of the characters in the label that are of good quality, while poor quality characters are skipped to be reconstructed after merger rather than thrown out. Thus enabling decoding of poorly printed labels. As indicated previously, poorly printed labels may have spots and voids. It may also be difficult to capture the entire label in one scan line. Using the character correlation techniques herein, multiple scans may be used to assemble all characters of a label with no overlap of label information required and even when no single scan has enough information to decode all characters of the label. To this end, the position of the character in the label may be used to correctly assemble the characters, and repetitive scans of character information may be used to validate the label. As above, undecodable characters are skipped over with decoding of further label data continuing. Decoded Characters and their position may be stored in a correlation store. Further, an Undecoded Character Identifier may be used for characters that cannot be decoded. Additional scan lines are decoded in the same way. Decoded characters from the additional scans may be merged with the data in the correlation store in accordance with techniques herein. When each character of the label is seen in the same location a specified number of times, e.g., at least two (2) times, the complete label is made available for final verification. Such merging of character data from multiple scans of a label is referred to herein as character correlation. Character correlation is utilized when a complete label may otherwise be decoded except that it is missing one or more characters. In situations where repeated scans of the same label result in different characters being missed, the characters decoded may be correlated across multiple scans with some degree of repetition in the same location to create a complete label. This could also be thought of as stitching on a single character basis with no overlap required. Utilizing character equality boundaries of bars and spaces, the elements of undecodable characters could be skipped. The correlation is implemented by keeping track of the number of times a character has been seen. If a different character begins to be decoded, the number of reads is decremented until it reaches zero. Then the new character takes over the position. If a certain number of characters are different from one scan to the next, the first scan may be thrown out and that next scan saved for further processing. Alternatively, both scans may be saved with that next scan being saved in a separate data store than the first. It is also envisioned that read requirements may be adjusted to account for situations involving high risk reconstruction. ~ A decoder may decode both Full Length Labels and Fragments. In another aspect of the system and methodologies herein, the combination of character correlation and stitching is implemented. A left fragment correlation store and a right fragment correlation store may be established as to each symbology, as appropriate, to store the characters of the fragments and the number of scans that each character has been seen. Full Length Labels may be stored in the left fragment correlation store under such scheme. After the first label is stored in the correlation store, new labels may be merged with the stored label, i.e., Decoded Characters may be merged into the Correlation Store. To this end, the number of scans are stored for each character and each character of the new label is compared to a character of the stored label in the corresponding location. The following logic is used after comparing a character of the new label (new character) with a character from the stored label (stored character): IF new character is not an Undecoded Character Identifier IF new character is equivalent to the stored character Increment number of scans for the stored character ELSE new character is different than the stored character IF number scans for stored character is greater or equal to 1 Decrement number of scans for this character by 1 ENDIF IF number of scans for this character is 0 Replace the stored character with the new character Set number of scans for this character to 1 ENDIF ENDIF ENDIF A stored label may be replaced with a new label if the new label is a complete scan and the length of the new label is different from the stored label. Alternatively, or additionally, a stored label may be replaced with a new label if the number of Decoded Characters in the new label that are different than the Decoded Characters of the stored label represent more than 50% of the label length. Still further alternatively, a first stored label need not be discarded and replaced with a new label under the above circumstances; rather, the new label may be saved in a separate data store and both the first stored label and the new label may be utilized in further processing. Figure 5 provides pictorial representations of exemplary sets of scan lines 210 and 215 that may be processed using correlation and stitching techniques in accordance with the system and methodologies herein. As may be seen in the first scan lines 210 of Figure" 5, the four label scans comprise two left fragments 220 and two right fragments 225 are identified and the character values and positions in each are correlated (i.e., "lined up"). With respect to the first scan lines 210, it may be seen that no Undecodable Characters are identified. Accordingly, based upon the correlation, the label scans are stitched and a first resulting label 230 is decoded. It is noted that the correlation process includes maintaining correlation scan count information 235 for each scan line (as well as in relation to a resulting label) which indicates the number of times a particular character has been identified in a specific position. Similarly, with respect to the second scan lines 215 of Figure 5, the five scan lines comprising three left fragments 240 and two right fragments 245 are identified and the character values and positions in each are correlated (i.e., "lined up"). It may be seen that one undecodable character 250 is associated with one of the second scan lines 215. Despite the missing character value associated with undecodable character 250, the system and methodologies are capable of correlating the characters and stitching together a second resulting label 255 to be decoded. As with the first scan lines 210, the correlation process includes maintaining correlation scan count information 235 for each scan line (as well as in relation to the second resulting label 255) which indicates the number of times a particular character has been identified in a specific position. In further accordance with the system and methodologies herein, improved stitching of label fragments from poor quality labels is provided. For example, stitching of Fragments may proceed even if some characters are not decodable. As well, symbologies configured for variable length may be stitched. In one aspect, the system may be set such that the order of arrival of Fragments may be considered when stitching. In this latter regard, less stringent stitching requirements may be allowed for Fragments that are decoded from consecutive scans of a specific scan line pattern as compared to Fragments decoded from non-consecutive scans. The system and methodologies herein provide for scans of a label to be decoded using correlation techniques as described above. The decode of a scan may result in a decode of a Full Length Label or only a Fragment. Where decoded Full Length Labels and Fragments have characters that were successfully decoded and characters that could not be decoded, i.e., Decoded Characters and Undecodable Characters, specific rules, as further described by example hereinbelow, may be utilized to merge such Full Length Labels and/or Fragments together. In this regard, one set of rules may be implemented to merge Full Length Labels and Fragments together, while another set of rules is implemented to stitch just Fragments together. Further, specific rules, as provided herein, are used on the final stitched label before the label is accepted. The flow chart of Figure 6 illustrates the functional blocks of exemplary merge and stitching aspects of the systems- and methodologies herein. With reference to Figure 6, in a first step 260, the system decodes scans of a label, e.g., a new label. The decode of a scan may result in a Full Length Label or Fragment. Characters of the Full Length Label or Fragment may be Decoded Characters or Undecodable Characters. If the label is a Fragment, it is identified as a left or right fragment of the label. In a second step 265, the system next attempts to merge a new label with a currently stored label if present. To this end, it may be determined if the two labels are to be merged in accordance with specific rules and logic (e.g., as provided herein). When a merge is acceptable, characters of the labels are merged using the previously detailed merge logic. Before an actual merge occurs, a merge check may be done (e.g., also in accordance with the rules set forth herein) to determine if a certain percentage (e.g., 75% in a preferred embodiment) of the Decoded Characters in the two labels match in value and position. If the percent matching criteria is not met, the merge check fails and the merge does not progress. Otherwise, the merge check passes and merge proceeds. In a third step 270, the system determines whether the merge changed the stored data. If not, further merge/stitching processing is not required. If any of the merge actions resulted in a change to the stored data, the system continues with step four 275. If not, the routine proceeds to the exit step 280 and completes this processing. In the fourth step 275, the system determines whether or not there is a new or modified Full Length Label. If so, further processing to determine if the new or modified Full Length Label meets requirements is performed (as will be further detailed hereinbelow in relation to step eight 285). If not, i.e., if it is Fragments that were modified, the system continues with step five 290. In the fifth step 290, the system determines whether both left and right fragments are present. If not, further merge/stitching processing is not required as to the present labels and, thus, the routine proceeds to the exit step 280 and completes this processing. However, if both left and right fragments are present, the system then continues with step six 295. In the sixth step 295, the system attempts to stitch the right and left fragments of the correlation store. Attempts to stitch both fixed length symbologies or variable length symbologies may be made. In the seventh step, the system determines whether the stitch was successful. If stitching was not successful, then further merge/stitching processing is not required as to the present labels and, thus, the routine proceeds to the exit step 280 and completes this processing. If stitching was successfully performed, the system continues with step eight 285. In the eighth step 285, the system checks whether or not the Full Length Label meets the system correlation requirements that have been established, e.g., whether each character of the label has been seen the specified number of times (e.g., as detailed in the rules set forth herein). In the ninth step 305, the system stores the label for further correlation if it does not meet requirements. The routine then proceeds to the exit step 280 and completes this processing. If, however, the requirements are met, the system proceeds with step ten 310. In the tenth step 310, the system does a final format and verification of the label. Final formatting of the label may include adding or removing characters in further stages of decoding. Verification of the label ma\ include verifying a check digit or other configurable attributes of the label. Upon completion of this step, the routine then proceeds to the exit step 280 and completes this processing. With respect to merging, the following rules are exemplary of those that may be utilized to merge labels in accordance with the system and methodologies herein. • When Full Length Labels are merged with other Full Length Labels, they must be the same length or the merge is not accepted. • Fragments can be merged with Fragments of different lengths or with a Full Length Label. The Merging Length is the length of the smallest Fragment. • If the length of a Fragment is greater than a Full Length Label, the two shall not be merged. • If the new label is a Full Length Label and Fragments are currently in the Correlation Store, an attempt to merge the Fragments with the Full Length Label is made before storing the result. • If the new label is a Fragment and a Full Length Label is currently stored, an attempt to merge the Fragment with the Full Length Label is made before storing the Fragment. With respect to stitching, the following rules are exemplary of those that may be utilized when performing character correlation and stitching in a preferred embodiment: • When Fragments or Full Length Labels are merged together, at least 50% of the Decoded Characters must match or the oldest is discarded (alternatively, both old and new fragments may be separately saved for further processing). The shortest Fragment may be discarded in the case of merging two (2) Fragments together. • Full Length Labels have priority over Fragments. • Long Fragments have priority over short Fragments. • Fragments can be merged with a Full Length Label or other Fragments using character correlation. • Stitching of label Fragments in a symbology that is Variable Length shall require- more Matching Decoded Characters in the Overlapping Region than a symbology that is Fixed Length. • Stitching of Fragments in a symbology that is Fixed Length or configured for Fixed Length shall require at least two (2) Matching Decoded Characters in the Overlapping Region. • Stitching of Fragments in a symbology that is configured for Variable Length shall require at least four (4) Matching Decoded Characters in the Overlapping Region. • A certain percentage of the Decoded Characters in the Overlapping Region shall be Matching Decoded Characters or the stitch is not accepted. • At least 80% of the Decoded Characters in the Overlapping Region of a stitched label shall match in character value and position. • For each Matching Decoded Character in the Overlapping Region, the sum of the scans from the right fragment and left fragment must meet a specified minimum value or the stitch is not accepted. • For each Matching Decoded Character in the Overlapping Region, the sum of the scans from the right fragment and left fragment must be at least four (4). • In symbologies with more than one, e.g., two (2), Fixed Lengths or Variable Length, the stitch of two Fragments will not be allowed if all of the Matching Decoded Characters in the Overlapping Region are the same character, i.e., have the same character value. Alternatively, the stitch of two fragments may not be allowed unless at least a specific number of different character values, e.g., three (3) are identified in the Overlapping Region. • When stitching Fragments of a variable length symbology, the overlapping length with the greatest number of Matching Decoded Characters in the Overlapping Region will be accepted. • Each character of a label has to be seen at least two (2) times before the label will be made available for final verification. This applies to all labels, stitched or not. • The stitching of label Fragments that are decoded in consecutive scans require fewer Matching Decoded Characters and fewer scans of the Matching Decoded Characters than the stitching of Fragments that are not decoded from consecutive scans. For example, a preferred embodiment requires no further scans when a left and right fragment are scanned consecutively and merged successfully; however, if left and right fragments are scanned non-consecutively, two scans would be required for each character in the left fragment and two scans would be required for each character in the right fragment. • When stitching Fragments, the positions with Non-Matching Decoded Characters will be merged by storing the character of the two Fragments with the most scansr If the number of scans are equivalent, the merge of the characters will result in storing an Undecodable Character Identifier in that position. The number of scans for the merged character will be the difference in the number of scans of the Non- Matching Decoded Characters of the two Fragments. ELEMENT RECONSTRUCTION, CORRELATION AND STITCHING Similarly to methodologies implemented with respect to character level processing, as detailed above, element level processing may further be utilized in accordance with the system and methodologies herein. In one aspect, element correlation may be utilized when a complete label may otherwise be decoded except that it is missing one or more characters. If repeated scans of the same label cause the same characters to be missed, elements in the same area in the raw label data could be correlated across multiple scans (e.g., with some degree of repetition as in character correlation) in an attempt to create a decodable character. This could also be thought of as stitching on a single element basis with no overlap required. Alternatively, stitching may be implemented on an element level with pieces of a label being stitched together on an element basis with a certain amount of overlap being required before pieces are stitched together. In another aspect of element correlation, elements across several scans may be correlated by correlating the entire scan at once. To line up two scans with each other, a set of random time values within the scan may be compared. The offset providing the best comparison result may then be utilized to correlate the two scans. To correlate the scans, the elements are normalized. With respect to binary symbologies, a preferred embodiment normalizes the scans into about 6 widths, e.g., too narrow, narrow, not narrow enough, not wide enough, wide, too wide. Similarly, with respect to multi-width symbologies the scans are normalized into about 24 widths. As with character correlation, specific rules may be devised and implemented for choosing which elements are correct between two scans. Element correlation will merge normalized element width information from several scan lines to build a complete scan of the label. The element widths identified from the histogram will be used to normalize the element width data. Should element correlation fail to yield a decodable character, element reconstruction may be utilized. This latter technique makes use of multiple scans of data and a knowledge of the character set being decoded in an attempt to reconstruct the most likely character that is encoded in the undecodable data. Using the Element Width Histogram data to assess element equality, voids present in the middle of a bar and spots present in the middle of a space may be corrected. To this end, the average width of each width for the spaces and bars is determined using the histogram data. If a particular element in the label does not fit arr average size, the system and methodologies herein provide for an attempt to combine that element with either the previous two elements or with the following two elements in a systematic manner. If either of the resulting combinations is an average size, the combination is saved as the correct element. QUALITY MEASURE TECHNIQUES ELEMENT LEVEL QUALITY MEASURE TECHNIQUES Typical standard algorithms for decoding bar codes rely on the elements as they are captured to be of relatively accurate width and position. Depending upon the symbology being decoded, the correct number of detected elements to make up a character are first normalized, and then the resulting pattern is compared to a table of valid characters to determine the value of this encoded character. However, if the elements are distorted such that they are no longer detectable, or such that the element widths and positions as detected are not accurate, the typical standard decoding algorithm may no longer be capable of decoding the character or may decode it incorrectly. In accordance with the preferred system and methods herein, measures of quality may be calculated and used in order to validate each detected element edge and to guide in the decoding of bar code characters. In cases where the elements have been distorted, disfigured or obliterated, and so might not be decodable by standard algorithms, such operation may be utilized to enable the elements to be reconstructed back to their intended widths and positions such that they could be correctly decoded. By using measures of the validity of the detected element edges, it may be possible to judge the validity of decoded characters, and to reconstruct distorted elements to their originally intended widths and positions, so that the character may be correctly decoded. In this manner, the ability of the bar code scanner to decode label data that may not be decodable using standard decoding algorithms may be improved. One method of determining the quality of elements that may be implemented is to compare the elements as detected with target element widths that have been calculated as being appropriate for this particular label if it were of a particular enabled symbology. In this regard, it is envisioned that the target widths used for comparison may be generated by the histogram. Optionally, the decoder could generate these values by examining a number of elements in the data that is being decoded. In either case, the number of target widths would be equivalent to the number of valid element widths in the symbology being attempted. By way of example, with respect to a Code 39 symbology that has two valid widths, there would be two target widths. Similarly, since a typical UPC symbology has four valid element widths, there would be four target widths used for comparison. A variety of possible means may be envisioned by one skilled in the art for determining allowable deviation of element widths for purposes of the above comparisonr One possible means in accordance with a preferred embodiment herein is to calculate a tolerance value from the target widths. By way of example in relation to a Code 39 symbology, one half of the difference between the wide target width and the narrow target width could be utilized as a valid threshold to determine acceptable deviation. Another method of determining element quality that may be implemented is to use a confidence rating for the edges of the elements and to compare this value with some calculation of such value for the rest of the character or label being decoded. In this latter regard, a value indicating the strength of the edges as previously described may, for example, be utilized. As above, it is envisioned that the target edge strength that is used for such comparison may be generated by the histogram. Again, optionally, the decoder could generate this value by examining the edge strength of a number of elements in the data that is being decoded. As with the element width comparison above, a variety of possible means may be envisioned by one skilled in the art for determining allowable deviation of element edge strengths for purposes of the above comparison. In cases where single elements have been split into multiple components through the inclusion of spots, voids or other defects, a combination of the above two methods may be envisioned for use in determining the correct bounds of the element, allowing the invalid detected elements to be ignored. In cases where elements have been rendered undetectable through obliteration by spots, voids or other defects, a combination of these methods might be used to insert an element of the desired width at the appropriate location into a character, based upon the locations and calculated validity of the other, detected elements. To further assist in the above process, and/or as a check, resulting patterns may be compared with a table of possible valid characters as element widths are being reconstructed. This would provide an additional validation that the elements were being reconstructed back into their most likely original form. As well, such comparison may be utilized to identify characters that are, in fact, not decodable earlier in the process so that no further effort would be spent attempting to decode such character. It is noted that some instances of this reconstruction process may result in two or more possible interpretations of the same element set, creating an ambiguous decode. In such cases, a preferred embodiment may resolve such ambiguity through a comparison of the sums of the quality measures of the elements as they have been defined to compose the different potential characters. In this regard, the character having the highest determined quality by a pre-established margin may, for example, be selected as the correctly decoded character. In accordance with a preferred embodiment, one possible means of generating a measure of quality of an individual element is to calculate the product of the deviation of" the element width from target and the deviation of the element edge strength from target. The sum of these products for all of the elements in a character would generate a measure of quality for the character. It is noted, however, that other means of generating a measure of quality of individual elements based upon the above comparisons may be devised and implemented by one skilled in the art without departing from the spirit and scope of the inventive concepts set forth herein and in the appended claims. With reference to Figure 7, element level processing with quality measure calculation begins with a leading edge of a character in the first step 315. In a second step 320 it is assumed that the current edge and the next edge in the element edge buffers define an element. In a third step 325, the element width defined by the assumed current edge and next edge in the element edge buffers is compared with a first target width. In a fourth step 330, a determination is made regarding whether the deviation in the compared values from the third step 325 is within the pre-established tolerance. If so, processing continues with the eleventh step 335 (as further detailed below). If a determination is made in the fourth step 330 that the deviation is not within tolerance, a further determination is made in the fifth step 340 regarding whether such element width is greater than the target element width. If not, processing proceeds with the sixth step 345 wherein a new element width is calculated by adding the appropriate value associated with the next two edges in the element edge buffers to the old element width. Processing then continues from the third step 325, as previously detailed, with the new element width value. If it is determined in the fifth step 340 that the element width is greater than the target width, processing continues with the seventh step 350 wherein the element width is compared with a second target width. In the eighth step 355, a determination is made regarding whether the deviation in the compared values from the seventh step 350 is within the pre-established tolerance. If so, processing continues with the eleventh step 335 (as further detailed below). If a determination is made in the eighth step 355 that the deviation is not within the tolerance, a further determination is made in the ninth step 360 regarding whether such element width is greater than the target element width. If not, processing proceeds with the sixth step 345 wherein a new element width is calculated by adding the appropriate value associated with the next two edges in the element edge buffers to the old element width. Processing then continues from the third step 325, as previously detailed, with the new element width value. If it is determined in the ninth step 360 that the element width is greater than the target width an error is recorded in the tenth step 365 and processing ends. If, as a result of the fourth step 330 or the eighth step 355, it is determined that the corresponding deviation is within the corresponding pre-established tolerance, processing proceeds with the eleventh step 335 wherein the corresponding edge strength value is ~" compared with the target edge strength. Processing then continues with the twelfth step 370 wherein the element width deviation and the edge strength deviation values are multiplied to generate a quality measure for this element. Further processing continues as detailed below in conjunction with Figure 8. With reference to Figure 8, a determination is made in a first step 375 regarding whether or not the quality measure generated (in the twelfth step 370 with reference to Figure 7) is acceptable. If not, an error is recorded in a second step 380 and processing ends. If the quality measure is determined to be acceptable in the first step 375, the quality measure for the current element is added to the quality sum for the current character in the third step 385. Processing then continues in the fourth step 390 wherein a determination is made regarding v\hether or not the quality sum resulting from the third step 385 is acceptable. If not, an error is recorded in a fifth step 395 and processing ends. If the quality sum is determined to be acceptable in the fourth step 390, processing continues in the sixth step 400 wherein the element pattern assembled to that point is compared with a table of valid patterns. In the seventh step 405, a determination is made regarding whether or not the currently assembled element pattern is a valid pattern. If not, an error is recorded in the eighth step 410 and processing ends. If the currently assembled element pattern is determined to be a valid pattern in the seventh step 405, a further determination is made in the ninth step 415 regarding whether or not the currently assembled element pattern comprises a complete character. If not, the trailing edge value of the current element becomes the current edge value in the tenth step 420 for further processing from the second step 320 of Figure 7. If it is determined in the ninth step 415 that the currently assembled element pattern comprises a complete character, processing continues with the eleventh step 425 wherein the decoded character is stored and the quality sum is saved for possible use in correlation and stitching routines. Processing is then completed in the twelfth step 430. CHARACTER LEVEL QUALITY MEASURE TECHNIQUES As indicated previously, when attempting to decode poor quality bar code labels, character correlation and stitching algorithms may be used in an effort to assemble a complete label from individual characters decoded over multiple scans. In one manner of implementation, as detailed above, character correlation and stitching algorithms may operate by requiring that any given character in a label be decoded as the same character a preset number of times before being accepted as a valid character for that position. Because of the nature of poor quality labels, however, all of the individual characters may still not be correctly decoded. Such remaining invalid characters can potentially corrupt the accumulated data such that the correct label is never completely assembled. In accordance with a preferred embodiment herein, a confidence measure for each ~ decoded character may further be used to assist in correlation and stitching. The measure of confidence of each character as it is decoded may be used to determine the number of times that a particular character must be decoded before being accepted. In a preferred implementation, a decoded character that is determined to be of poor quality may be required to be decoded as that same character a greater number of times than if it were of good quality. In a preferred approach, an inverse relationship between the quality of a character and the number of times that it would have to be decoded before being accepted may be established and utilized. The following example illustrates a manner in which this approach may be implemented. Assuming a first scan of a label yields a character decoded as a first \ alue in a particular position and with a quality rating of 100. On a second scan of the same label, the character in the same position is decoded as a second value with a quality rating of 300. In accordance with this example, lower quality rating numbers indicate higher confidence. Thus, the quality rating of 300 represents only one- third the confidence of character decoded with a quality rating of 100. In such instance, the character having the quality rating of 300 may, for example, be required to be decoded three consecutive times before it would be allowed to replace the character having a quality rating of 100 that was decoded once in the correlation function. By using a measure of the quality of each decoded character, the correlation and stitching algorithms may be able to prevent the invalid characters from being accepted as valid, and therefore enable the correct label to eventually be completely assembled. In this manner, the effectiveness of character correlation and stitching algorithms may be improved. Such algorithms may then be used in a bar code scanner to decode label data not decodable using standard algorithms. THRESHOLD ADJUSTING TECHNIQUES In another aspect of the system and methodologies herein, a limitation on acceptable element widths may be implemented when using character correlation to scan poor quality labels. As indicated previously, thresholds are used to determine which normalized element width represents the actual element width when normalizing the elements of a label. The thresholds allow a range of element widths to be accepted for each normalized width. When poor quality labels are scanned and require the use of character correlation and stitching, however, the risk of incorrect decoding is increased. To offset this increased risk, the system and methodologies herein provide for the threshold ranges to be changed when character correlation and stitching are used. That is, when the scanner starts using character correlation and stitching, the acceptable range of element widths for each normalized element may be reduced from the initial range. By reducing the acceptable range of element widths, fewer characters may be decoded " incorrectly; thus, giving decoded data that is more accurate and consistent. With more accurate decoded data, character correlation and stitching converges on the correct label data more quickly. In this manner, the performance of character correlation and stitching when poor quality labels are scanned may be improved. One method that may be envisioned to adjust the threshold values in relation to character correlation and stitching would be to maintain a record, for each symbology decoded, of the degree of congruence of elements in labels that did not require correlation or stitching. Such record would then provide example values in relation to good quality labels. When correlation or stitching was subsequently required in relation to further labels, the threshold levels could be adjusted such that only elements with equivalent or better degrees of congruence to those in the good quality examples would be accepted. In another aspect, variable thresholding may be implemented. This technique would mainly apply to binary codes and would be used to allow the wide to narrow ratio to be adjusted to be more or less stringent vs. aggressive. This technique may advantageously further result in an increase of the depth of field in which binary codes may be read. Further, the instant system and methodologies provide for staged decoding through levels of decoding intelligence. In this regard, the scanner may be programmed such that its level of decoding intelligence is increased as it reads more scans. As the scanner goes to more intelligent decoding modes, it may use a more complicated decoding threshold scheme. For example, the system may start with a simple scheme (to decode good quality labels that are susceptible to normal decoding fast) and then advance to a more complicated threshold scheme for aggressive decoding to reduce misreads and allow for better definition of the problems in the label. In a scanner that has programmable thresholds for decoding, setting the thresholds at the most stringent levels will generally result in the fewest misreads. However, this may prevent reading of labels of poorer quality. As a result, the user may try to program the scanner with inappropriate threshold levels in an effort to scan all of their labels. In a still further aspect, the system and methodologies herein provide for automatic programming of decoding thresholds to enable the user to easily adjust decoding aggressiveness to match label quality. This technique allows the user to set thresholds by scanning labels of typical quality. For example, when the scanner has been placed into a special programming mode, the user may then scan labels that exhibit characteristics typical of the labels that they will be scanning. Decoding routines could then be adjusted to utilize the appropriate thresholds to allow the labels to be decoded. Thus, thresholds could be adjusted to the optimum levels for decoding the user's labels. These thresholds would be saved and used for all future decoding of labels of this same symbology untiF further programming is performed. SIGNAL PROCESSING MODIFICATION BASED ON DECODER FEEDBACK When scanning label data, the accuracy of the bar/space edges detected and passed on to the decoding software is dependent upon a number of factors. Among the factors are parameters in the signal processing system such as gain and threshold. Typically, the signal processing system in a bar code scanner is designed around parameters that are fixed or, if variable, may be modified based upon feedback within the signal processing system itself. Thus, for example, gain and threshold parameters, if not fixed, may be adaptively adjusted based upon feedback from prior processing of the input signal by the signal processing system. It has not heretofore been devised to incorporate feedback from outside of the signal processing system in ordei to adaptively adjust signal -processing parameters for further processing. In a further aspect of the preferred system and methods herein, aspects of the signal processing system may further be enabled to be modified based upon feedback from the decoding software. Signal processing parameters such as gain and threshold may be adjusted based upon information obtained in the process of decoding label information. Should decoding of information from the signal processor (for example, utilizing further techniques identified herein) indicate that an adjustment to the gain, threshold, or other parameters in the signal processing system could provide for more efficient decoding of subsequent label information, then appropriate adjustment to such parameters may be made accordingly. By allowing parameters to vary based upon feedback from the decoders, it may be possible to more accurately tune the signal processing system to match the specific circumstances of the label being scanned, thus leading to more accurate data being collected, and to the generation of a more accurate representation of the label data being scanned. In turn, the probability of correctly decoding the label in a short time is increased. SCAN LINE/MECHANISM COMPENSATION When capturing bar code data using a dithering scan mechanism, the bar/space element times will increase at the ends of the scan line because the scan mechanism must slow down to reverse direction. As the dithering mechanism slows down to reverse direction, the corresponding distortion of the collected scan data can cause it to be unusable for decoding. This effectively shortens the usable scan line. Current practices either discard the data from the ends of the scan line as being too distorted, or attempt to correct it on a character by character basis as it is decoded. However, the distortion of the data at the ends of the scan line can potentially be more severe than can typically be corrected on a character by character basis. To counter the effects of the scan mechanism operation at the end of scan lines and to further ensure that accurate information is presented for decoding, the system and methodologies herein provide for the adjustment of certain collected scan data by a predefined offset to compensate for known variations in the scan mechanism speed. Because the physical properties of the scanning mechanism are well understood by those skilled in the art, the variations in speed which it will exhibit over the course of the mechanism's scanning arc can be accurately predicted. Accordingly, a table of compensation values can be generated that can be applied to the collected data. Because the location in the scanning arc where each data value was collected is known, the appropriate value from the compensation table can be applied to each item of data. For example, the speed of the scanning spot can be characterized over the course of the scan line. With knowledge of the rate of change of the scan mechanism speed at the ends of the scan line, and position information in relation to such change in speed over the scan line, a measure of the associated time distortion with respect to elements encoded in the scan line information may be established. In turn, the compensation curve may be determined to identify the offset that may be applied to the collected data to adjust it for the variation in speed. By compensating for such distortion, the entire scan line of data may be used; thus more efficiently obtaining complete character information that might otherwise have required additional scans - and time - to obtain and decode. In this manner, the effect that the variations in scanning speed may have had upon the value of the data may be effectively nullified. Rounded Surface Interpolation. When scanning a label attached to a rounded surface (e.g., on a can or bottle), a certain amount of distortion is encountered due to the varying distances of the scan line to the label as it moves across the label. In this aspect, the system and methodologies herein provide interpolation techniques that may be implemented as a means of compensation for the distortion of elements. Similarly to scan line compensation techniques discussed above, potential offset amounts could be determined and implemented to adjust for character/element width distortion. It may be envisioned that such offsets could be used either directly on identified character/element widths, or they may be implemented as part of a secondary, more aggressive technique to fit elements/characters into a known pattern during reconstruction. ADDITIONAL DECODING TECHNIQUES To further ensure that scan information is properly decoded, a scanner in accordance with the system and methodologies herein may employ one or more of the following techniques. Decode Initiation. In this aspect, the scanner would keep track of the number of elements in potential labels and the total time (i.e., label element total count) associated " with potential labels. In this regard, the first stage of the decoding/reconstruction sequence would not be initiated until the number of elements and the time count stabilized. Margins. Existing scanners typically require that some amount of margin space be detected in conjunction with a label scan. In accordance with this aspect of the system and methodologies herein, margin checking requirements could be modified as the decoding intelligence level changes. For example, if the histogram shows a label with well defined element widths, a margin requirement may be skipped with respect to that label. This feature could further be implemented in conjunction with the aggressiveness level changes, as further detailed hereinbelow, to change the margin requirements automatically as different levels of decoding are implemented. Quiet Zones. As above, existing scanners will typically find leading quiet zones during data capture. In this aspect of the system and methodologies, the scanner would also find possible trailing quiet zones in order to aid in a determination of where potential label data exists in the capture buffer. Typically, quiet zones are defined as being an element which is some integer multiple, commonly six to ten, times the width of a narrow element in the label. These quiet zones are expected to be found on either end of the label and serve to delineate the label from the label's surroundings. However in some cases, particularly when the label has been printed on a textured surface, spurious transitions may occur at the ends of the label in the area of the quiet zones. Such spurious transitions may appear as elements to the scanner where, in fact, there are none. Normally, the presence of elements in what should be the quiet zone would invalidate that area as a quiet zone. If a detection of a quiet zone were required for decoding a particular symbology, or by a particular decoding algorithm, the erroneous invalidation of the quiet zone could prevent the successful completion of the decode . In accordance with a further aspect of the preferred systems and methods herein, edge strength information may be used to detect the existence of a valid quiet zone even though it may appear that it contains elements. In this regard, if a quiet zone is being tested for, and it appears to contain elements, the edge strength of those elements could be compared with the average edge strength of the elements in the label. If the edge strength, i.e. confidence level, of the elements in the potential quiet zone were below some threshold (which may, for example, be 25 percent less than the confidence level of the elements in the label), then other factors, such as the presence of an adjacent STOP or START pattern, could be considered to determine if this was a valid quiet zone. This could allow the successful completion of a decode even though phantom elements may appear in the data in the location of the quiet zone. Bi-directional Decoding. Existing scanners typically decode in only one direction7 Thus, when scanning a poorly printed label, the scanner is only able to "look at" the label from one side on each scan. Further, when scanning a label fragment, the scanner is only be able to decode the fragment every other scan line. In this aspect of the system and methodologies herein, decoders and margin searching features are enhanced so that the decoders can decode the scan line in both directions. In this manner, additional scan information may be decoded, e.g., through reconstruction techniques that might otherwise have been lost as a result of the inopportune location of label defects. Decoding Credits. In this aspect of the system and methodologies herein, it is envisioned that each decoding session of a label would be allowed a certain number of decoding credits. Such decoding credits would be assignable to the various decoding techniques that may be implemented in the established configuration for a particular scanner. Decoding methods of high risk would use more credits than methods of low risk. Since the use of more aggressive, i.e., higher risk, decoding techniques may result in an increase of potential misreads, use of a decoding credit scheme could serve as a check on decoding security. By way of example, a decoding session could start out with each symbology having a budget of 100 credits. A particular number of credits would be associated with each of the variety of decoding function/technique available for implementation, respectively. For example, ten (10) credits may be associated with reconstruction of a character, twenty (20) credits with the lack of a trailing quiet zone, five (5) credits per character may be associated with correlation, and so on. As each decoding function is invoked, the appropriate number of credits associated with that function is subtracted from the total available. If the total drops to zero or below as a result of such subtraction, decoding for that symbology is stopped. This scheme would allow the decoder to attempt a certain number of high risk decoding techniques while maintaining a desired overall security level. Thus, by way of one example, even where a high level of decoding security is desired, decoding credits could be implemented such that where all of the data characters of a label decode easily, the scanner could allow the guard patterns to be of lower quality requiring more aggressive decoding techniques. Use Of Analog Information. The systems and methodologies in accordance with the preferred embodiment herein may further make use of analog data, such as the amplitude of RTV/STV signals from the scan head. Such amplitude information may be stored as the bar and space data is stored. This amplitude information would then give the decoders information about the strength of space-to-bar and bar-to-space transitions that may be used to distinguish phantom transitions from real transitions. In addition, the strength of the signal could be used as an aid in a determination of how to adjust for inter " symbol-interference when the bar and spaces are very narrow or the label is at a far distance. Further aspects of how the system and methodologies herein may advantageously utilize analog information are detailed immediately hereinbelow. DECODING AGGRESSIVENESS CONFIGURATIONS STAGED DECODING In accordance with the system and methodologies herein, two stage use of analog and digital label data (i.e., a digital-to-analog switch) may further be implemented as a means of systematically varying the aggressiveness of decoding. Existing systems have typically approached the decoding of labels in one of two ways: One approach has been to process only the digital label information so that good quality labels were decoded quickly. With respect to digital decoding, the hardware of a laser based scanner may be constructed to generate one or more digital signals from the reflected laser signal. One possible implementation of a digital signal indicates a bar of the label by maintaining a specified voltage level for the time that the laser is positioned on the bar and it indicates a space of the label by maintaining a different specified voltage level for the time that the laser is positioned on the space. Another possible implementation of the digital signal indicates a space-to-bar transition of the label by generating a digital pulse when the laser moves from a space to a bar. In this second implementation, a second digital signal indicates a bar-to-space transition of the label by generating a different digital pulse when the laser moves from a bar to a space. In both types of implementations, the digital signal(s) are used to determine the width of bars and spaces using time measurements. The time measurements of bars and spaces are then used to decode the bar code. The digital signal provides a simplified version of the reflected laser signal. The simplified signal is quick to store and quick to decode by the scanner's microprocessor. Since the signal is quickly processed, the decoding is very fast. However, if the label is of poor quality, the digital signal alone may be insufficient to allow the label to be decoded. Another approach has been to spend the processing time to record and process both analog and digital label information so that labels of all levels of quality could be decoded. With respect to analog decoding, the hardware of a laser based scanner may also be constructed to generate one or more analog signals from the reflected laser signal. One possible implementation of an analog signal produces the signal strength of the reflected laser signal. This signal can be digitally sampled and used by the microprocessor based decoder. A second possible implementation of an analog signal produces the first derivative of the signal strength of the reflected laser signal. This signal can be digitally sampled and used by the microprocessor based decoder. Analog signals from the reflected laser signal provide more information than a digital signal. In addition to the information that a digital signal can provide, the analog signal can indicate the amount of contrast between the bars and spaces and the sharpness of the edge between bars and spaces. The digital only approach limits the scanner in its ability to read poor quality labels. The additional information provided by analog decoding may be used to help read high density labels, to correct for problems due to low contrast, or to correct for problems due to spots and voids. However, while analog information may be useful when trying to read low quality labels, sampling, storing, and processing the analog information is time consuming; thus, decoding labels with exclusive use of analog information can lead to long decoding times for labels even if they are good quality. Thus, the analog and digital approach results in the decoding time for good quality bar codes to be long. The instant system and methodologies improve on these limitations so that good quality labels are decoded quickly while poor quality labels may still be decoded. In the preferred embodiment, the system first attempts, e.g., with respect to a first set of scan lines, to store and use only digital label information. If a valid label has not been found during this first set of scan lines, the system then starts storing and processing analog information to help find the label in the scan line data. Thus, the preferred embodiment is capable of using both the analog and digital representation of the bars and spaces of a label that may be produced by the electronics of the scanner, but does so in a systematic, staged manner so as to improve decoding time. In the first stage of decoding, the decoder will use the digital information to attempt the decoding of a label. In the second stage of decoding, only if necessary, the decoder will use the digital and analog information to attempt the decoding of a bar code. LEVELS OF RECONSTRUCTIVE LOGIC DECODING In addition to the staged digital/analog decoding as detailed above, the instant system and methodologies provide further techniques for systematically adjusting the aggressiveness of decoding. There are many techniques to aggressively decode poorly printed labels. Each technique has a certain amount of misread risk. In general, the techniques that allow the scanner to read more poorly printed labels have a higher risk of misread. The levels of aggressiveness could be established so that the techniques that allow the most poorly printed labels to be read have the highest aggressiveness level. Some possible techniques that could be assigned aggressiveness levels are: Character based stitching - Combining several pieces of a label to make a resulting complete label. The pieces can be combined when a certain number of characters are common between the pieces. Element based stitching - Combining several pieces of a label to make a resulting complete label. The pieces can be combined when a certain number of bars and spaces are common between the pieces. Element addition - Bars and spaces that are much smaller than most bars and spaces of the label can be combined with other bars and spaces. Character correlation - Using multiple full scans of a label to find all characters of a label. Some characters may not be decoded in one scan while other characters may not be decoded in a second scan. Accordingly, the reconstruction techniques set forth herein, while more aggressively attempting to decode label information, may also increase the element of risk for misreads. In a preferred embodiment herein various levels of decoding may be accommodated and systematically implemented as further detailed hereinbelow. Each increased level of decoding generally corresponds to an increased level of aggressiveness and decreased level of security. Exemplary of the levels of logic decoding that may be accommodated in accordance with the system and methodologies herein are: Level 1 : This level results in the quickest and most secure decoding on good quality data. In this level, a full scan of the label is required and all of the characters must be decodable by standard decoding techniques, i.e., no correlation, stitching or reconstruction is performed. Level 2: This level may be utilized when different scans of the label yield different characters as being decodable, but no single scan yields all of the characters. Security is still good as each character must be seen multiple times in the same location to be accepted. Unless otherwise guarded against (such as through limitations on attempt time allowed), one downside of the stitching techniques that may be implemented at this level is that the decoder may spend extra time working on the wrong symbology. Traditional methods of stitching may be implemented at this level for use, e.g., with respect to situations where scanning is done from a distance wherein it is more difficult to line up the scan line with the label. Accordingly, multiple pieces of labels are assembled together with overlapping of characters. Thus, where a user merely swept the scan line through the label instead of lining the scan line across the entire label, complete label information may nonetheless be reconstructed. Fixed Length Label stitching may be utilized, i.e., partial scans which begin or end with a START or STOP pattern may be accepted and are assembled into a complete label. In such manner, label pieces from multiple scans of poorly printed labels may also be used to compensate for voids in the label data. Character correlation may also be utilized, i.e., full scans of data which are missing characters may be accepted and are correlated across multiple scans to produce a complete label. Level 3: This level may be utilized when Undecodable Characters are identified " in one or more scans of a label. Character reconstruction is enabled at this level, as well as Variable Length stitching. While more aggressive, this level is also less secure because the reconstruction is done by passing the corrupted data through a set of rules to determine the correct character; thus, there is always the chance that the decoder will make the wrong decision. Stitching of Variable Length labels can also lead to misreads when there are large repeating patterns within the label. Enabling this level also consumes more time, which could delay the correct decoder for this symbology from being invoked. Character reconstruction may be utilized in this level, i.e., when a character is distorted such that no scan yields a decodable set of elements for that character. This can occur when an element has been corrupted over the entire height of the label. This function will attempt to reconstruct the character from the corrupted elements using knowledge of the character set for the symbology. Variable Length label stitching may also be utilized at this level, i.e., partial scans of a Variable Length symbology which begin or end with a START or STOP pattern may be accepted and are assembled into a complete label. Level 4: This level may also be utilized when one or more characters cannot be decoded due to the corruption of elements. There is a greater potential for misreads using the techniques at this level because of the insecurity of the initial data. Element correlation may be utilized at this level, i.e., when the label is so poorly printed that large numbers of the elements are missing on any given scan. This function will attempt to correlate the elements from several scans together to create one scan that can then be decoded. The instant system and methodologies envision that the levels of reconstruction aggressiveness may be implemented such that the user could configure the degree of aggressiveness desired. For example, the user could configure the minimum and maximum aggressiveness on a per symbology basis. Allowing the minimum aggressiveness to start at a higher level (i.e., higher than level 1) could give the scanner a head start on aggressive scanning when the quality of the labels to be scanned is known to be poor. Allowing the maximum aggressiveness level to be set allows the user to limit the risk of misreads. It is further envisioned that a variety of techniques may be utilized to provide for variable aggressiveness configuration. For example, separate configurable decoding intelligence levels could be implemented at the label level and the character level. A further option would be to provide a bitmap of reconstruction options that could then be investigated and appropriately set for each level utilizing pre-established criteria. Still further, a specific set of reconstruction options could be developed to address specific problems (e.g., problems that have previously been encountered with respect to a particular symbology, or problems that are known to be likely to occur). In another aspect of the system and methodologies herein, a technique of advancing decoding aggressiveness through time may be utilized. In a manner similar to that discussed above with respect to staged digital/analog decoding, the instant system and methodologies may use a multi-level approach for decoding aggressiveness that advances through the levels as the scanner processes scan lines. Existing scanners typically use only one level of decoding aggressiveness during the entire time that a label is decoded. The advantage of the instant system and methodologies is that well printed labels may be decoded quickly, and with low risk, while poorly printed labels may still be decoded as well. This allows for fast decoding times for good quality labels with decoding times increasing as the quality of the label decreases. This is important for scanners that cannot keep up with the label data input when using the most aggressive decoding techniques. It also allows the scanner to use the decoding techniques with lower risk of misread fu st and use the higher risk techniques only when necessary. In accordance with the instant system and methodologies, the scanner is set up to have several levels of decoding aggressiveness, such as have been previously detailed hereinabove. The scanner starts with the initial level and advances through each level at certain time increments. In one envisioned application, the time could be measured by counting the number of scans of data collected. For example, after six scans of data have been collected without a successful decode, the level of aggressiveness could be incremented. Each level of decoding allows the scanner to decode labels of lower quality. The above represents one possible implementation of aggressiveness level configuration. However, it is envisioned that progression through levels and decoding techniques at each level could be implemented differently. In another aspect of a preferred embodiment, each symbology may have a level of aggressiveness option which can be set by the user to dictate how hard the scanner should try to make a label of that symbology out of any data that is scanned. As each level is enabled, the lower numbered levels may also be enabled, i.e. enabling Level 3 implies that Level 2 will also be enabled. In one implementation, the scanner would always start each scanning session decoding at level 1 and then would increase the level, as allowed, as each level of decoding fails to successfully decode the data. Such structure is intended to allow for fast decode times on good data, with decode times increasing as the quality of the data decreases. In effect, if the scanner is enabled to do so, as the quality of the data deteriorates, the scanner will work harder to decode it. Figures 7 through 10 combine to illustrate the functional blocks of an exemplary increased aggressiveness level decoding through time process which may be implemented in accordance with the system and methodologies herein. With reference first to Figure 9, scanning begins at a first step 435 whereupon decoding logic is initialized to level 1 at a second step 440. Element times are captured iri ~ a third step 445, delta time values are calculated in a fourth step 450, a quiet zone search is performed in a fifth step 455 and symbology identification is attempted, as further described herein, in a sixth step 460. In a seventh step 465, the system then determines whether the decoding logic level is greater than 1. If not, then the system proceeds to the twelfth step 470 as further detailed hereinbelow. If the decoding logic level is determined to be greater than 1 , the system proceeds to the eighth step 475 to determine whether or not there is a leading quiet zone that has been identified. If not, the system proceeds to the twelfth step 470 as further detailed hereinbelow. If a leading quiet zone has been identified in the eighth step 475, the system proceeds to the ninth step 480 to determine whether or not there is a trailing quiet zone that has been identified. If not, the system proceeds to the tenth step 485 and adds the identified element times to the histogram information and proceeds to the twelfth step 470 as further detailed hereinbelow. If a trailing quiet zone has been identified in the ninth step 480, the system proceeds to the eleventh step 490 to calculates the histogram information prior to proceeding to the twelfth step 470. In the twelfth step 470, the system determines whether the end of the scan line has been reached. If not, the system returns to the third step 445 for further capturing of elements and subsequent processing as set forth above. Upon determining that the end of the scan line has been reached in the twelfth step 470, the system then proceeds with decoding as further detailed and illustrated with reference to Figure 10 below. In a first step 495 as seen in Figure 10, decoding is invoked. In a second step 500, the system determines whether a character may be decoded. If not, the system proceeds to the third step 505 to determine whether or not the decoding logic level is greater than 1. If not, the system then proceeds to the eleventh step 510 wherein decoding is exited. If the decoding logic level is determined to be greater than 1 in the third step 505, then the system proceeds to the fourth step to determine whether or not the decoding logic level is greater than 2. If the decoding logic level is not determined to be greater than 2 in the fourth step 515, then the system proceeds to the ninth step 520 as further detailed hereinbelow. If the decoding logic level is determined to be greater than 2 in the fourth step 515, then the system proceeds to determine whether or not the character may be reconstructed in the fifth step 525. If not, then the system proceeds to the ninth step 520 as further detailed hereinbelow. If the character is reconstructed in the fifth step 525, the system then proceeds to the sixth step 530 to determine whether or not the character may be decoded. If not, the system then proceeds to the ninth step 520 as further detailed hereinbelow. If, as a result of the second step 500 or the sixth step 530, it is determined that a character may be decoded, the system then proceeds to the seventh step 535 to store the decoded character in a decoded character buffer. The system then proceeds to the eighth step 540 to determine whether or not a stop character has been found. If so, the " system then proceeds with further processing in accordance with the routine detailed in conjunction with Figure 11 below. If it is determined that a stop character is not found in the eighth step 540, the system then proceeds with the tenth step as further detailed hereinbelow. If, as a result of the fourth step 515, the fifth step 525, or the sixth step 530, the system determines that a character may not be properly decoded, an undecoded character identifier (i.e., marker) is stored in an appropriate buffer and the system proceeds to the tenth step 545. If an undecoded character identifier is stored in the ninth step 520, or a stop character is not found in the eighth step 540, the system proceeds to the tenth step 545 to determine whether the end of raw data has been reached. If not, the system returns to the second step 500 to determine whether or not additional characters may be decoded and proceeds again through the above steps accordingl} . If it is determined that the end of raw data has been reached in the tenth step 545, then the system proceeds with further processing in accordance with the routine detailed in conjunction with Figure 11 below. With reference to Figure 11 , the system first determines whether or not a complete label has been decoded in a first step 550. If so, the scanning is done and the system proceeds to the eleventh step 555. If it is determined that a complete label has not been decoded, then the system proceeds to the second step 560 to determine whether or not the decoding logic level is greater than 1. If yes, the system then proceeds to the eighth step 565 as further detailed hereinbelow. If the decoding logic level is not greater than 1, the system proceeds to the third step 570 to determine whether the current scan is the fourth scan of the data. If not, the system proceeds to the seventh step 575 to continue scanning and processing as previously detailed. If it is determined that the current scan is the fourth scan of the data, the system then proceeds to the fourth step 580 to determine whether or not level 2 logic has been allowed. If not, the system proceeds to the sixth step 585 and marks the scan buffers as used prior to advancing to the seventh step 575 to continue scanning. If it is determined that level 2 logic has been allowed in the fourth step 580, the system then proceeds to the fifth step 590 wherein the decoding logic level is set to logic level 2 prior to advancing to the sixth step 585 to mark the scan buffers as used and then to the seventh step 575 to continue scanning. In the fifth step 565, character correlation and stitching are invoked based upon the determination in the second step 560 that the decoding logic level was greater than 1. The system then proceeds to the ninth step 595 to determine whether or not a complete label has been assembled. If so, scanning is done and the system proceeds to the eleventh step 555 to complete this processing. If it is determined that a complete label has not been assembled in the ninth step 595, the system then proceeds to the tenth step 600 to determine whether the correlated element buffer may be decoded. If so, the system proceeds to the sixth step 585 to mark the scan buffers as used prior to advancing to the seventh step 575 to continue scanning. If it is determined- that the correlated element buffer may not be decoded in the tenth step 600, the system proceeds with further processing in accordance with the routine detailed in conjunction with Figure 12 below. With reference to Figure 12, the system first determines whether or not the current scan is the eighth scan of data in the first step 605. If so, the system then proceeds to the second step 610 to determine whether or not level 3 logic is allowed. If the current scan is determined not to be the eighth scan of data in the first step 605, the system then proceeds to the fourth step 615 as further detailed hereinbelow. If it is determined that level 3 logic is not allowed in the second step 610, the system advances to the ninth step 620 as further detailed hereinbelow. If it is determined that level 3 logic is allowed in the second step 610, then the system proceeds to the third step 625 to set the decoding logic level to logic level 3 prior to advancing to the ninth step 620 as further detailed hereinbelow. If it is determined in the fourth step 615 that the current scan is the twelfth scan of data, the system then proceeds to the fifth step 630 to determine whether or not level 4 logic is allowed. If not, the system then proceeds to the ninth step 620 as further detailed hereinbelow. If the current scan is not determined to be the twelfth scan of data in the fourth step 615, the system then proceeds to the seventh step 635 to determine whether the current scan number is a multiple of four. If not, the system proceeds to the tenth step 640 to continue scanning. If it is determined that the current scan number is a multiple of four in the seventh step 635, the system then proceeds to the eighth step 645 as further detailed hereinbelow. If it is determined that level 4 logic is allowed in the fifth step 630, the system then proceeds to the sixth step 650 to set the decoding logic level to logic level 4 prior to advancing to the eighth step 645. In the eighth step 645, element level correlation is performed and the system is returned to the routine detailed in conjunction with Figure 10 for further processing. In the ninth step 620, scan buffers are marked as used prior to the system advancing to the tenth step 640 to continue scanning. Because security may decrease as aggressiveness levels increase (i.e., the more aggressive the technique, the more likely that decoding errors may arise in general), it is further envisioned in another aspect of the instant system and methodologies, that one or more of the more aggressive techniques may optionally be established for use only with respect to symbologies incorporating check digit capabilities, and with respect to which such check calculation is enabled - thus, allowing the check character calculation to give additional security to the decoding process under those circumstances. SYMBOLOGY BASED AGGRESSIVENESS Some existing scanners allow a user to set an overall decoding aggressiveness level; however, once set, this level is utilized with respect to all scans by the scanner N With respect to users, e.g., in industrial areas, who often need to decode several different symbology types, the overall setting for aggressiveness may pose an unwanted risk of misreads for some symbologies. In a further aspect of the system and methodologies herein, a desired decoding aggressiveness level may be set based on symbology type, for each symbology type to be scanned by a user. In this regard, the level of aggressiveness for a particular symbology may be established through user configuration or it may be determined by programming within the scanner itself (utilizing further techniques provided herein). In either event, the scanner could be made to maintain a decoding aggressiveness level for each bar code symbology. In this manner, a user could maintain the lowest risk of decode aggressiveness overall and still read labels in symbologies with poorly printed labels. LEARNING MODE The configuration of decoding for scanners can be very complex due to the many types of symbologies that may be encountered in different environments, as well as the many decoding techniques and attributes thereof that are common in scanners. In the past, a user (or scanner expert) would have to know about the configurable attributes of the scanner, as well as the user's environment, in order to configure the scanner appropriately. In yet a further aspect, the instant systems and methodologies provide for the determination of a decoding configuration through a learning mode. To this end, scanning data from labels in the user's environment may be used to set decoder configuration attributes. For example, in learning mode, the scanner may use all possible decoding techniques to determine the least aggressive technique required to decode the particular label scanned for learning. When learning mode is complete, the scanner would then use the learned aggressiveness to decode future labels. Accordingly, less intervention from a scanner expert is required. As well, the configuration of decoding attributes may easily be customized to the user's environment. In conjunction with this technique, it is envisioned that the configuration of scanner attributes could be determined by putting the scanner into a learning mode. To this end, various techniques may be implemented either alternatively or in combination as a means of entering the learning mode. For example, the learning mode could be initiated and/or terminated through the use of special bar code labels which, when read, would result in entry of the learning mode. Further, a hardware button or switch may be utilized on the scanner body, or elsewhere, to provide access to the learning mode. Still further, a command from an external device which may be received through a defined interface may be utilized. Alternatively, the learning mode could be "on" all the time such that the scanner continues to learn and adjust to the scanning environment as it is performing actual scans. ~ Where the learning mode is separately activated (as opposed to continuously operating in the background at all times), the scanner would be freed to perform decodes upon exiting the learning mode. Based upon the configuration attributes established in the learning mode, the scanner would then focus only on the decoding techniques required for the labels of that particular environment; thus, resulting in more efficient decoding since otherwise non-productive decoding techniques may be skipped. While in learning mode, the scanner would save configurable attributes that allow it to read labels that are presented. After saving the data, and exiting learning mode if necessary, the scanner would then continue to use the saved configuration to read future labels (until learning mode programming is received). The system and methodologies herein further envision that all of the attributes configured in a learning mode session with respect to a scanner could subsequently be downloaded from that scanner and uploaded to other scanners in the same environment. In accordance with the system and methodologies herein, there are many attributes that could be learned. Exemplary of possible attributes that may, alone or in combination, be subject to configuration through a learning mode are: • Symbology types to be operated upon in a particular environment. • Threshold ranges, e.g., as previously discussed in relation to automatic programming of decoding thresholds to enable a user to easily adjust decoding aggressiveness to match label quality. • Maximum decoding aggressiveness level, e.g., as previously discussed in relation to the advancing of decoding aggressiveness through time. • Character correlation attributes, e.g., correlation across several scans as previously discussed. • Stitching attributes, e.g., stitching bar code fragments from poor quality labels as previously discussed. • Character reconstruction attributes for use in conjunction with decoding poor quality labels through reconstruction of normally undecodable characters as previously discussed. • Element correlation attributes as previously discussed. • Number of repetitive reads of a label required for successful decoding. It is further envisioned that some or all of the attributes could be learned on a symbology basis as previously discussed herein with respect to decoding aggressiveness levels based on symbology types. For example, on a symbology basis, the scanner could keep track of the number of scan lines that it takes to reconstruct labels. It could also keep track of the level of reconstruction that was needed to reconstruct the labels of a " symbology. Such information would then be used to help the scanner determine what kind of reconstruction/decoding to first attempt in future labels. It would also help the scanner determine how much data should be analyzed before moving to the next level of reconstruction. LABEL QUALITY REPORTING Typically, bar code verifiers are used to acquire information about the quality of bar code labels. This process, however, requires additional work on the part of the user, i.e., that of scanning the bar code labels with the verifier. In a further aspect of the preferred system and methods herein, label quality feedback information is provided to the user about label quality based upon the techniques used to decode the labels. The algorithms currently employed for decoding poor quality labels each typically compensate for a particular type of label defect. For example, labels containing such defects as: invalid wide to narrow ratio, invalid element proportions, spots, voids, tears and disfigures can be reconstructed and decoded through the use of different algorithms. Therefore, by knowing which algorithms were used to decode a particular label, assumptions can be made about the types of defects that may have been included in that label. This label defect information, along with the decoded label data itself, could be made available to the user, allowing them to monitor the quality of the labels used in their system. By providing label quality feedback directly from the bar code scanner normally used in the process, the added expense and time of using the verifier could be greatly reduced. The appendix attached hereto provides exemplary software code portions for implementing routines in relation to correlation and stitching, element histograms and edge strength techniques and element width and quality measure techniques detailed herein in accordance with a preferred embodiment herein. While the above-identified techniques are described in conjunction with one another for use in a scanner system, it is noted that the various aspects of the present system and methodologies may advantageously be selectively employed alone or in conjunction with one or more aspects in a particular system. Moreover, the various rules and methodologies set forth herein are not inclusive of all rules and methodologies that may readily be employed by one skilled in the art with respect to particular symbologies and/or user environments, nor are must all of the rules and methodologies detailed herein be employed with respect to a particular system. It will be apparent to those skilled in the art that certain rules may be obviated and other rules added as a result of system configuration requirements, symbology variations, user needs and specifications, environmental considerations, and the like. As well, while various aspects of the system and methodologies herein have been set forth by way of certain examples, many other variations and examples are possible and are intended to be within the scope and spirit of " this disclosure and any claims made hereto. Furthermore, it is intended that modifications to the disclosed system and methodologies may be made without departing from the scope and spirit of the inventive concepts set forth herein and in the appended claims. This code is an implementation of the algorithms for correlation and stitching of labels from incomplete label fragments generated by the decoders . /*********************************************************************** ****** FUNCTION: InitCharCorrelation AUTHOR: Jon Brandt, 7/10/98 REFERENCE: Product SDD DESCRIPTION: This function initializes the correlation buffer for the current symbology. The label length is set to 0 so that any new label will cause the buffers for characters and scans to be reset. INPUTS : current_symbology_object_ptr - global store that keeps a pointer to the current object. OUTPUTS : SYMB_RECONSTRUCT_INFO_TYPE structure for the current symbology: left_frag . length - Length of left reconstruction label is set to 0. right_frag. length - Length of right reconstruction label is set to 0. full__length_label - set to FALSE. ************************************************************************ *****/ void InitCharCorrelation ( void ) { /* Set the length to 0 to force new labels to fill buffer. */ current_symbology_object_ptr->reconstr_info->left_frag. length = 0 ; current_symbology_object_ptr->reconstr_info->right_frag. length = 0; current_symbology_obj ect_jptr- >reconstr_info- >full_length_label = FALSE; } / ******* * ******************* * ******************************************* ****** FUNCTION: CorrelateCharacters AUTHOR: Jon Brandt, 8/22/98 REFERENCE: Product SDD DESCRIPTION: This function decides on the stitching and character correlation approach for the new fragment in the current symbology. The function has to consider what label information is currently stored for this symbology. It also has to consider the type of fragment that is ready for correlation. Please note that when complete label is read or stitched, FULL_Label is set and the label will be stored in the area designated for the left fragment . INPUTS : FORMAL unsigned char fragment_type - type of label fragment. COMPLETE_LABEL_FRAGMENT - entire label is ready for merge. LEFT_SIDE_FRAGMENT - Only part of the left side of label is ready . RIGHT_SIDE_FRAGMENT - Only part of the right side of label is ready. INFORMAL current_symbology__object_ptr - global store that keeps a pointer to the current object. IntermediateLabelBuffer - global variable pointing to the start location of the buffer that has the new fragment. IntermediateLength - global variable of the length of the new fragment . SYMB_RECONSTRUCT_INFO_TYPE structure for the current symbology: unsigned char *left_frag. chars - Pointer to the characters of the left fragment, unsigned char *left_frag. char_scans - Pointer to the storage area for the number of scans for the left fragment . unsigned char left_frag. length - length of the left fragment . unsigned char *right_frag. chars - Pointer to the characters of the right fragment . unsigned char *rightfrag.char_scans - Pointer to the storage area for the number of scans for the right fragment . unsigned char right frag. length - length of the right fragment . unsigned char full_length_label - indicates if a full label has been seen. character_correlation_min_read - Minimum number of times each character has to be seen in the same position before the correlated label is accepted. OUTPUTS : FORMAL BOOLEAN LabelComplete - The returned parameter indicates the success of character correlation: TRUE - The label has been completed. FALSE - The label is not complete. INFORMAL IntermediateLabelBuffer - global variable pointing to the start location of the buffer that may be filled with a label completed with character correlation IntermediateLength - length of the label may be updated f the correlation completed a label . SYMB_RECONSTRUCT_INFO_TYPE structure for the current symbology which may be updated with new label information unsigned char *left_frag. chars - Pointer to the characters of the left fragment. unsigned char *left_frag. char_scans - Pointer to the storage area for the number of scans for the left fragment unsigned char left frag. length - length of the left fragment. unsigned char *rιght_frag. chars - Pointer to the characters of the right fragment, unsigned char *rιghtfrag. char_scans Pointer to the storage area for the number of scans for the right fragment . unsigned char rιght_frag. length - length of the right fragment unsigned char full_length_label - indicates if a full label has been seen ************************************************************************ *****/ BOOLEAN CorrelateCharacters ( unsigned char fragment_type ) { SYMB_RECONSTRUCT_INFO_TYPE *corr_mfo , unsigned char *new_lbl, unsigned char *corr_lbl, unsigned char *corr_scans, unsigned char char_num, unsigned char start_pos_l, unsigned char start_pos_2, unsigned char compare_length, unsigned char num_merge_chars , /* Get pointer to character correlation information for this ** symbology. */ corr_mfo = current_symbology_obπect_ptr->reconstr_ιnfo, /* If this is a left side fragment, attempt to stitch it */ /* Check to see if stitching is currently enabled */ if ( (fragment_type & LEFT_SIDE_FRAGMENT) '= 0) { StripUndecodableEndChars ( fragment_type ) , /* Set long fragment flag if this is a long fragment */ if ( NE _FRAG_LEN >= MIN_CHARS_IN_LONG_FRAGMENT ) { DM Vars . label_or_long_fragment_decoded = TRUE; } if ( (ActiveDecodingAlgs & (DM_FIXED_LENGTH_STITCHING_MASK I DM_VARIABLE_LENGTH_STITCHING_MASK) ) ! = 0 ) { /* Check to see if we have a full length label stored */ if (corr_info->full_length_label == TRUE) { /* See if the new fragment and the full length label ** are similar enough to merge. The new fragment ** length must be <= stored label length. */ if ( (corr_info->left_frag. length >= NEW_FRAG_LEN) && ( (num_merge_chars = CompareLeftFragToLabel ( NEW FRAG CHARS, corr_info->left_frag. chars, NEW_FRAG_LEN )) > 0) /* They are similar so merge them */ MergeLeftFragments ( & (corr_info->left_frag) , NEW_FRAG_CHARS , num_merge_chars ) ; } else { /* They are not similar so do not use the new fragement ** and return a FALSE. */ return FALSE; } else /* The correlation store only has fragments */ { /* See if new left fragment and left stored fragment ** are similar enough to merge. The stored fragment ** length must not be 0. ** First, figure out which fragment is smallest for the comparison. */ if ( NEW_FRAG_LEN < corr_info- >left_frag . length ) { compare length = NEW FRAG_LEN; } else { compare_length = corr_info->left_frag. length; } if ( (corr_info->left_frag. length != 0) && (TRUE == CompareWithFragmentCriteria ( NEW FRAG CHARS, corr_info->left_frag. chars, compare_length )) ) { /* They are similar so merge the new fragment ** into the stored fragment. */ MergeLef Fragments ( & (corr_info->left_frag) , NEW_FRAG_CHARS , NEW_FRAG_LEN ) ; } else /* The new fragment is not similar to stored fragment */ { /* Store new fragment if it is longer than 3/4 ** of the stored fragment. */ if ( (unsigned short) NEW_FRAG_LEN > ((unsigned short) (corr_info->left_frag. length) * 3 / 4) ) { StoreLeftFragment ( & (corr_info->left_frag) , NEW_FRAG_CHARS , NEW_FRAG_LEN ) ; } } } } else { /* stitching is not enabled so discard this fragment */ /* Nothing has changed so return a FALSE. */ return FALSE; } } /* End of processing for left side fragment */ /* If this is a right side fragment, attempt to stitch it. */ /* Check to see if stitching is currently enabled */ else if ( (fragment_type & RIGHT_SIDE_FRAGMENT) != 0) { StripUndecodableEndChars ( fragment_type ) ; /* Set long fragment flag if this is a long fragment */ if ( NEW_FRAG_LEN >= MIN_CHARS_IN_LONG_FRAGMENT ) { DM_Vars . label_or_long_fragment_decoded = TRUE; } if ( (ActiveDecodmgAlgs & (DM_FIXED_LENGTH_STITCHING_MASK I DM_VARIABLE_LENGTH_STITCHING_MASK) ) ! = 0 ) { /* Check to see if we have a full length label stored */ if (corr_info->full_length_label == TRUE) { /* See if the new fragment and the full length label ** are similar enough to merge. The new fragment ** length must be <= stored label length. */ if ( (corr_info->left_frag. length >= NEW_FRAG_LEN) && ( (num_merge_chars = CompareRightFragToLabel ( NEW_FRAG_CHARS , corr_info- >left_frag . chars , NEW_FRAG_LEN, corr_info->left_frag. length )) > 0) ) { /* They are similar so merge them. */ start_pos_l = (unsigned char) (corr_info- >left_frag. length - num_merge_chars) ; MergeCharsFromNewFrag ( & (corr_info->left_frag. chars [start_pos_l] ) , & (corr_info->left_frag. char_scans [start_pos_l] ) , NEW_FRAG_CHARS , num_merge_chars ) ; } else { /* They are not similar so do not use the new f ragement ** and return a FALSE. */ return FALSE; } } else /* The correlation store only has fragments */ { /* See if new right fragment and right stored fragment ** are similar enough to merge. The stored fragment ** length must not be 0. ** First, figure out which fragment is smallest for the comparison . */ if ( NEW_FRAG_LEN < corr_info- >right_frag . length ) { compare_length = NEW_FRAG_LE ; } else { compare_length = corr_info->right_frag. length; } /* Now set up for the comparison. */ start_pos_l = (unsigned char) (NEW_FRAG_LEN - compare_length) ; start_pos_2 = (unsigned char) (FRAG_BUFFER_SIZE - compare_length) ; if ( (corr_info->right_frag. length != 0) && (TRUE == CompareWithFragmentCriteria ( & (NEW_FRAG_CHARS [start_pos_l] ) , & (corr_info->right_frag. chars [start_pos_2] ) , compare_length ) ) ) { /* They are similar so merge the new fragment ** into the stored fragment. */ MergeRightFragments ( & (corr_info->right_frag) , NEW FRAG CHARS, NEW FRAG LEN else /* The new fragment is not similar to stored fragment */ { /* Store new fragment if it is longer than 3/4 ** of the stored fragment. */ if ( (unsigned short) NEW_FRAG_LEN > ( (unsigned short) (corr_info- >right_frag. length) * 3 / 4) ) { StoreRightFragment ( & (corr_info->right_frag) , NEW_FRAG_CHARS , NΞW_FRAG_LEN ) ; } else { /* Nothing has changed so return a FALSE. */ return FALSE; } } } } else { /* stitching s not enabled so discard this fragment. */ /* Nothing has changed so return a FALSE */ return FALSE, } } /* End of processing for right side fragment */ /* Check to see if the label has undecodable characters or ** is a poor quality label In both cases attempt to merge ** the label with previous scans. */ else if ( ( ( (ActiveDecodmgAlgs & DM_CHARACTER_CORRELATION_MASK) ι = 0) && ((fragment type & UNDECODED_CHARACTERS ) != 0) ) | | ( (fragment_type & POOR_QUALITY_LABEL) '= 0) ) /* Set full label flag if this is a long fragment */ DM_Vars . label_or_long_fragment_decoded = TRUE; /* Check to see f we already have a full length label */ if (corr_ιnfo->full_length_label == TRUE) { /* If we already have a full length label and their ** lengths match, try to merge them together. */ if ( NEW_FRAG_LEN == corr_mfo- >left_f rag . length ) { /* See if labels are similar enough to merge */ if ( TRUE == CompareWithFullLabelCriteπa ( NEW FRAG CHARS, corr_mfo->left_frag. chars, NEW_FRAG_LEN ) ) /* They are similar so merge them */ MergeLeftFragments ( & (corr_mfo->left_frag) , NEW_FRAG_CHARS , NEW_FRAG_LEN ) ; } else { /* They are not similar so store new full length label */ StoreLeftFragment ( & (corr_mfo->left_frag) , NEW_FRAG_CHARS , NEW_FRAG_LEN ) ; } } else /* the lengths do not match */ { /* Store new full length label */ StoreLeftFragment ( & (corr ιnfo->left_frag) , NEW_FRAG_CHARS , NEW_FRAG_LEN ) ; } } else /* The correlation store only has fragments */ { /* See if new full length label and left stored fragment ** are similar enough to merge. The stored fragment ** length must be <= new label length and not 0. */ if ( (corr_info->left_frag. length != 0) && (corr_info->left_frag. length <= NEW_FRAG_LEN) && ( (num_merge_chars = CompareLeftFragToLabel ( corr_info- >left_frag . chars , NEW_FRAG_CHARS , corr_info- >left_frag . length ) ) > 0) ) { /* Adjust left fragment length for merge */ corr_info->left_frag. length = num_merge_chars ; /* Merge the new label into the fragment. */ MergeLeftFragments ( & (corr_info->left_frag) , NEW FRAG CHARS, NEW FRAG LEN ) ; } else { /* They are not similar so store new full length label */ StoreLeftFragment ( & (corr_info->left_frag) , NEW_FRAG_CHARS , NEW_FRAG_LEN ) ; } /* We now have a full length label so update the flag */ corr_info->full__length_label = TRUE; /* See if new full length label in the left store and right ** stored fragment are similar enough to merge. The stored ** fragment length must be <= new label length and not 0. */ start_pos_l = (unsigned char) (FRAG_BUFFER_SIZE - corr_info- >right_frag. length) ; if ( (corr__info->right_frag. length 1= 0) && (corr_info->right_frag. length <= NEW_FRAG_LEN) && ( (num_merge_chars = CompareRightFragToLabel ( & (corr_info->right_frag. chars [start_pos_l] ) , corr_info- >left_frag . chars , corr_info->right_frag. length, NEW_FRAG_LEN ) ) > 0) ) { /* Merge the right fragment into the full length label ** in the left store. */ corr_info->right_frag. length = num_merge_chars ; MergeOverlapOfStoredFrags ( num_merge_chars ) ; else { /* They are not similar. */ } /* The right fragment needs to be discarded so ** set length to 0. */ corr_info->right_frag. length = 0; } } /* End of processing for undecoded characters or poor quality label */ /* If we don't have a full length label but we do ** have fragments, attempt to stitch the fragments. */ if ( (corr_info->full_length_label == FALSE) && ( corr_info->left_frag. length > 0 ) && ( corr_info->right_frag. length > 0 ) ) { corr_info->stitch () ; } /* If we have a full length label, check for enough scans ** for each character. */ corr_scans = corr_info->left_frag. char_scans; if (corr_info->full_length_label == TRUE) { /* Check the number of scans for each character. */ for ( char_num = 0; char_num < corr_info->left_frag. length; char_num++ ) { if ( *corr_scans < DM_Config. character_correlation_min_read ) { /* If we don't have enough scans, get out now */ return FALSE; } corr scans++; /* Since all characters meet requirement, load correlated ** label into intermediate label. ** Set new length. */ NEW_FRAG_LEN = corr_info- >left_frag. length; new_lbl = NEW_FRAG_CHARS ; corr_lbl = corr_info->left_frag. chars ; for ( char_num = 0; char_num < NEW_FRAG_LEN; char_num++ ) { *new_lbl = *corr_lbl; new_lbl++; corr_lbl++; } return TRUE; } /* end of check for full label with enough scans */ return FALSE; /*********************************************************************** ****** FUNCTION: CompareWithFullLabelCriteria AUTHOR: Jon Brandt, 11/24/98 REFERENCE: Product SDD DESCRIPTION: This function compares two full length labels to determine if they are similar. If the number of decoded characters that are different is more than 1/4 of the label length of the decoded characters, a FALSE is returned. Otherwise, a TRUE is returned. Both labels must be the same length. INPUTS : FORMAL unsigned char *Lbll - Pointer to the label characters from the first label, unsigned char *Lbl2 - Pointer to the label characters from the second label . unsigned char num_chars - Number of characters in label. INFORMAL None OUTPUTS : FORMAL TRUE - The comparison found a matching set of labels. FALSE - The comparison found a non-matching set of labels. INFORMAL None ************************************************************************ ***** BOOLEAN CompareWithFullLabelCriteria ( register unsigned char *lbll, register unsigned char *lbl2, unsigned char num_chars ) { unsigned char char_num; unsigned char num_diff_chars; unsigned char num decoded chars; num_diff_chars = 0; num_decoded_chars = 0 ; /* Step through the contents of each buffer */ for ( char num = 0; char_num < num chars; char num++ ) { /* Only count the characters if both of them are decoded. */ if ( ( *lbll != UNDECODABLE_CHAR ) && ( *lbl2 != UNDECODABLE_CHAR ) ) { /* If the characters don't match, increment counter. */ if ( *lbll != *lbl2 ) { num_diff_chars++ ; } /* Increment number of decoded characters */ num decoded chars++; /* Increment to next buffer locations */ lbll++; lbl2++; /* Determine if labels are similar. ** Devide num_decoded__chars by 4 to determine if the number of ** different characters is greater than 1/4 of the decoded chars. */ if ( num_diff_chars > (num_decoded_chars / 4) ) { /* More than 1/4 of the characters are different so return a false */ return FALSE ; } else { /* The labels are similar so return a true */ return TRUE; } } *********************************************************************** ****** FUNCTION: CompareLeftFragToLabel AUTHOR: Jon Brandt, 11/24/98 REFERENCE: Product SDD DESCRIPTION: This function compares a left fragment to a portion of a full length label to determine if they are similar. If the number of decoded characters that are different is more than 1/4 of the merge length, a 0 is returned. This function also determines the number of characters that can be merged. The number of merge characters is returned when the comparison determined a match. INPUTS : FORMAL unsigned char *left_frag - Pointer to the characters of the left fragment . unsigned char *full_label - Pointer to the characters of the full length label, unsigned char num_chars - Number of characters to compare. INFORMAL None OUTPUTS : FORMAL merge_chars - The number of characters to merge . 0 - The comparison did not find a match between the fragment and label. INFORMAL None ************************************************************************ ***** / unsigned char CompareLeftFragToLabel ( register unsigned char *left_frag, register unsigned char *full_label, unsigned char merge_chars ) { /* Determine merge length giving priority to the characters ** close to the start/stop character. Only allow 1/2 of the ** fragment to be discarded. */ merge_chars = DetermineLeftFragMergeLen ( left_frag, full_label, merge_chars, merge_chars/2 ); if ( ( merge_chars >= MIN_MERGE_LEN ) && ( TRUE == CompareWithFullLabelCriteria ( left_frag, full_label, merge_chars ) ) ) { return merge_chars; } else { return 0 ; } } *********************************************************************** ****** FUNCTION: CompareRightFragToLabel AUTHOR: Jon Brandt, 11/24/98 REFERENCE: Product SDD DESCRIPTION: This function compares a right fragment to a portion of a full length label to determine if they are similar. If the number of decoded characters that are different is more than 1/4 of the merge length, a 0 is returned. This function also determines the number of characters that can be merged. The number of merge characters is returned when the comparison determined a match. INPUTS : FORMAL unsigned char *right_frag - Pointer to the leftmost character of the right fragment . unsigned char *full_label - Pointer to the leftmost character of the full length label, unsigned char num_nght__chars - Number of right fragment chars, unsigned char num_label_chars - Number of label chars. INFORMAL None OUTPUTS : — FORMAL merge_chars - The number of characters to merge 0 - The comparison did not find a match between the fragment and label INFORMAL None ************************************************************************ ***** unsigned char CompareRightFragToLabel ( register unsigned char *rιght_frag, register unsigned char *full_label, unsigned char num_πght_chars , unsigned char num_label_chars ) { unsigned char merge_chars , /* Determine merge length giving priority to the characters ** close to the start/stop character. Only allow 1/2 of the ** fragment to be discarded */ merge_chars = DetermmeRightFragMergeLen ( πght_frag, full_label , num_πght_chars , num_label_chars , num_label_chars/2 ) ; rιght_frag += ( num_rιght_chars - merge_chars ) , full_label += ( num_label_chars - merge_chars ) , if ( ( merge_chars >= MIN_MERGE_LEN ) && ( TRUE == CompareWithFullLabelCriteria ( rιght_frag, f ull_label , merge_chars ) ) ) { return merge_chars ; } else { return 0 ; } } /*********************************************************************** ****** FUNCTION : CompareW thFragmentCriteπa AUTHOR: Jon Brandt, 8/22/98 REFERENCE: Product SDD DESCRIPTION: This function compares two fragments to determine if they are similar. If the number of decoded characters that are different is more than 1/2 of the decoded chars, a FALSE is returned. Otherwise, a TRUE is returned. INPUTS : FORMAL unsigned char *fragl - Pointer to the label characters from the first fragment . unsigned char *frag2 - Pointer to the label characters from the second fragment. unsigned char num chars - Number of characters to compare. INFORMAL None OUTPUTS : FORMAL TRUE - The label comparison found a matching set of fragments . FALSE - The label comparison found a non-matching set of fragments . INFORMAL None ************************************************************************ **** * BOOLEAN CompareWithFragmentCriteria ( register unsigned char *fragl, register unsigned char *frag2, unsigned char num_chars ) { unsigned char char_num,- unsigned char num_diff_chars ; unsigned char num_decoded_chars ; num_decoded_chars = 0 ; num diff chars = 0; /* Step through the contents of each buffer */ for ( char_num = 0 ; char_num < num_chars ; char_num++ ) { /* Only count the characters if both of them are decoded. */ if ( ( *fragl != UNDECODABLE_CHAR ) && ( *frag2 != UNDECODABLE_CHAR ) ) { /* If the characters don't match, increment counter. */ if ( *fragl != *frag2 ) { num_diff_chars++ ; } num_decoded_chars++ ; } /* Increment to next buffer locations */ fragl++; frag2++; } /* Determine if fragments are similar. ** Devide number of decoded chars by 2 to determine if the number of ** different characters is greater than 1/2 of the decoded chars. */ if ( num_dιff_chars > (num_decoded_chars / 2) ) { /* More than 1/2 of the characters are different so return a false */ return FALSE; ~ } else { /* The fragments are similar so return a true */ return TRUE; } } /*********************************************************************** ****** FUNCTION . Determ eLeftFragMergeLen AUTHOR Jon Brandt, 11/24/98 REFERENCE: Product SDD DESCRIPTION: This function discards left fragment end characters that do not match the full length label. This is done to g ve the characters of the full length a higher priority than the fragment end characters. The new length of the fragment s returned. INPUTS : FORMAL unsigned char *Left_Frag_Chars - Pointer to the label characters of the left fragment. unsigned char *Full_Label_Chars - Pointer to the label characters of the full length label, unsigned char num_chars - Number of characters m the left fragment . unsigned char max_dιscard_chars - maximum number of characters that can be discarded. INFORMAL None OUTPUTS : FORMAL unsigned char num_chars - Number of characters remaining fragment . INFORMAL None ************************************************************************ *****/ unsigned char DetermineLeftFragMergeLen ( register unsigned char *left_frag_chars , register unsigned char *full_label_chars, unsigned char num_chars, unsigned char max_discard_chars ) { /* Increment pointers to the end of the fragment. */ left_frag_chars += (num_chars - 1) ; full_label_chars += (num_chars - 1) ; /* Step through the characters starting at the end of the fragment while ( (num_chars > 0) && (max_discard_chars > 0) ) { /* if the characters don't match or if one of them ** is undecodable go to the previous character of ** the fragment. */ if ( ( *left_frag_chars != *full_label_chars ) I I ( *left_frag_chars == UNDECODABLE_CHAR ) j j ( *full_label_chars == UNDECODABLE_CHAR ) ) { /* The characters are different so decrease the number. */ num_chars- - ; max_discard_chars-- ; left_frag_chars-- ; full_label_chars-- ; } else /* The characters match */ { /* Stop searching for matching chars */ break; } return num chars ; /*********************************************************************** ****** FUNCTION : DetermineRightFragMergeLen AUTHOR: Jon Brandt, 11/24/98 REFERENCE: Product SDD DESCRIPTION: This function discards all of the right fragment end characters that do not match the full length label. This is done to give the characters of the full length a higher priority than the fragment end characters. The new length of the fragment is returned. INPUTS : FORMAL unsigned char *Right_Frag_Chars - Pointer to the leftmost character of the right fragment . unsigned char *Full_Label_Chars - Pointer to the leftmost character of the full length label. unsigned char num_frag_chars - Number of characters in the right fragment . unsigned char num_full_label_chars - Number of characters in the full label. unsigned char max_discard_chars - maximum number of characters that can be discarded. INFORMAL None OUTPUTS : FORMAL unsigned char num_chars - Number of characters remaining in fragment. INFORMAL None ************************************************************************ ***** unsigned char DetermineRightFragMergeLen ( register unsigned char *right_frag_chars, register unsigned char *full_label_chars, unsigned char num_frag_chars, unsigned char num_full_label_chars , unsigned char max_discard_chars ) { /* Increment pointers to the end of the fragment. ** The right fragment is positioned at the right end of the buffer. */ full_label_chars += (num_full_label_chars - num_frag_chars ) ; /* Step through the characters starting at the end of the fragment while ( (num_frag_chars > 0) && (max_discard_chars > 0) ) { /* if the characters don't match or if one of them ** is undecodable go to the next character of ** the fragment. */ if ( ( *right_frag_chars != *full_label_chars ) I I ( *right_frag_chars == UNDECODABLE_CHAR ) j j ( *full label_chars == UNDECODABLE CHAR ) ) { /* The characters are different so decrease the number of ** characters. */ num_frag_chars- - ; max_discard_chars- - ; right_frag_chars++; full_label_chars++ ; } else /* The characters match */ { /* Stop searching for matching chars */ break; } return num_frag_chars; } *********************************************************************** ****** FUNCTION: MergeLeftFragments AUTHOR: Jon Brandt, 8/23/98 ~ ~ REFERENCE: Product SDD DESCRIPTION: This function performs the merge of two label fragments and aligns the left side of each fragment. It uses the label characters and the number of scans for each character to perform the merge . This function handles the merge of label fragments that are not the same size. INPUTS : FORMAL LABEL_FRAGMENT_TYPE *stored__fragment - pointer to store of a fragment. This store includes the characters, scans, and length of the fragment. unsigned char *new_frag_chars - Pointer to the characters of the new fragment . unsigned char new_frag_length - length of the new fragment. INFORMAL none . OUTPUTS : FORMAL LABEL_FRAGMENT_TYPE *stored_fragment - The fragment data will change with merge. INFORMAL none ************************************************************************ *****/ void MergeLeftFragments ( LABEL_FRAGMENT_TYPE *stored_fragment, unsigned char *new_frag_chars, unsigned char new_frag_length ) { unsigned char merge_length; unsigned char copy_start_pos; unsigned char copy_length; /* Check to see if new fragment is bigger than stored fragment. */ if ( stored_fragment->length < new_frag_length ) { /* New fragment is bigger than stored fragment so start by ** determining how much to merge. The actual merge will ** happen below. */ merge_length = stored_ ragment->length; /* Now determine how many characters need to be copied from ** new to stored and then store them. */ copy__start_pos = stored_fragment->length; copy_length = (unsigned char) (new_frag_length - stored_fragment- >length) ; StoreCharsFromNewFrag ( & (stored_fragment- >chars [copy_start_pos] ) , & (stored_fragment->char_scans [copy_start_pos] ) , & (new_frag_chars [copy_start_pos] ) , copy_length ) ; /* Now update the stored fragment with the new length */ stored_fragment- >length = new_frag_length; } else /* The stored fragment is at least as long as the new fragment 7 { /* For this case we only need to merge the overlapping section */ merge_length = new_frag_length; } /* Merge the common sections of the 2 fragments */ MergeCharsFromNewFrag ( stored__fragment- >chars , stored_fragment- >char_scans , new_frag_chars , merge_length ) ; /*********************************************************************** ****** FUNCTION: MergeRightFragments AUTHOR: Jon Brandt, 8/23/98 REFERENCE: Product SDD DESCRIPTION: This function performs the merge of two label fragments and aligns the right side of each fragment. It uses the label characters and the number of scans for each character to perform the merge . This function handles the merge of right fragments that are not the same size. Please note that the right fragment is stored at the end of the fragment buffer. The new fragment is stored at the beginning of its buffer. INPUTS : FORMAL LABEL_FRAGMENT_TYPE *stored_fragment - pointer to store of a fragment. This store includes the characters, scans, and length of the fragment . unsigned char *new_frag_chars - Pointer to the characters of the new fragment . unsigned char new_frag_length - length of the new fragment. INFORMAL none . OUTPUTS : FORMAL LABEL_FRAGMENT_TYPE *stored_fragment - The fragment data will change with the merge. INFORMAL none ************************************************************************ ***** void MergeRightFragments ( LABEL_FRAGMENT_TYPE *stored_fragment , unsigned char *new_frag_chars, unsigned char new_frag_length ) { unsigned char merge_length; unsigned char merge_stored_start_jpos; unsigned char merge_new_start_jpos ; unsigned char copy_stored_start_pos; unsigned char copy_length; /* Check to see if new fragment is bigger than stored fragment. */ if ( stored_fragment- >length < new_frag_length ) { /* New fragment is bigger than stored fragment so start by ** determining how much to merge. The actual merge will ** happen below. */ merge_length = stored_fragment->length; /* Now determine how many characters need to be copied from ** new to stored and then store them. The stored right ** fragment is at the end of the buffer. The new fragment ** is at the beginning of its buffer. * copy_stored_start_pos = (unsigned char) (FRAG_BUFFER_SIZE - new_frag_length) ; copy_length = (unsigned char) (new_frag_length - stored_fragment- >length) ; StoreCharsFromNewFrag ( & (stored_fragment- >chars [copy_stored_start_pos] ) , &(stored_fragment- >char_scans [copy_stored_start_pos] ) , new_frag_chars, copy_length ) ; /* Now update the stored fragment with the new length */ stored_fragment->length = new_frag_length; } else /* The stored fragment is at least as long as the new fragment /* For this case we only need to merge the overlapping section merge_length = new_frag_length; /* Merge the common sections of the 2 fragments. The stored right ** fragment is at the end of the buffer. The new fragment ** is at the beginning of its buffer. */ merge_stored_start_pos = (unsigned char) (FRAG_BUFFER_SIZE - merge_length) ; merge_new_start__pos = (unsigned char) (new_frag_length - merge_length) ,- MergeCharsFromNewFrag ( & (stored_fragment- >chars [merge_stored_start_pos] ) , & (stored_fragment- >char_scans [merge_stored_start_pos] ) , & (new_frag_chars [merge_new_start_pos] ) , merge_length ) ; } /*********************************************************************** ****** FUNCTION: MergeCharsFromNewFrag AUTHOR: Jon Brandt, 8/23/98 REFERENCE: Product SDD DESCRIPTION: This function performs the merge of two fragments, left side of each f agment. It uses the label characters and the number of scans for each character to perform the merge . INPUTS : FORMAL unsigned char *stored_frag_chars - pointer to the characters of the stored fragment . unsigned char *stored_frag_scans - pointer to the scans of the stored fragment . unsigned char *new_frag_chars - Pointer to the characters of the new fragment . unsigned char new_frag_length - length to merge. INFORMAL none . OUTPUTS : FORMAL unsigned char *stored_frag_chars - may be updated with new or changed charcters . unsigned char *stored_frag_scans - may be updated with additional scan information. INFORMAL none ************************************************************************ *****/ void MergeCharsFromNewFrag ( register unsigned char *stored_frag_chars, register unsigned char *stored_frag_scans, register unsigned char *new_frag_chars, unsigned char merge__length ) { unsigned char char_num; /* Step through the contents of each buffer */ for ( char_num = 0; char_num < merge_length; char_num++ ) { /* Only update the stored character if the ** new character is decoded. */ if ( *new_frag_chars != UNDECODABLE_CHAR ) { /* Check to see if the characters match. */ if ( *stored_frag_chars == *new_frag_chars ) { /* The characters match. Update ** scans unless it's bigger than 0x7F to ** prevent an overrun. */ if ( *stored_frag_scans < DM_Config. character_correlation_max_scans ) { (*stored_frag_scans) ++; } } else /* The new character is different */ { /* Decrement scans if there are any scans */ if ( *stored_frag_scans > 0 ) { (*stored_frag_scans) -- ; } /* If there are no scans, replace the ** stored character and update scans. */ if ( *stored_frag scans == 0 ) { *stored_frag_chars = *new_frag_chars ; *stored_frag_scans = 1; } } } /* Increment to next buffer locations */ stored_frag_chars++ ; stored_frag_scans++ ; new_frag_chars++; *********************************************************************** ****** FUNCTION: StoreCharsFromNewFrag AUTHOR: Jon Brandt, 8/23/98 REFERENCE: Product SDD DESCRIPTION: This function copies the characters into the store and initializes the scans to the proper value for the character data. INPUTS : - FORMAL unsigned char *target_store_chars - pointer to the storage area for the characters . unsigned char *target_store_char_scans - pointer to the storage area for the character scans . unsigned char *new_chars - Pointer to the new characters. unsigned char store_length - length to store. INFORMAL none OUTPUTS : FORMAL unsigned char *target_store_chars - will be updated with new characters . unsigned char *target_store_char_scans - will be updated with new scan values. INFORMAL none ********************************************************************* * ** *****/ void StoreCharsFromNewFrag ( register unsigned char *target_store_chars, register unsigned char *target_store_char_scans, register unsigned char *new_chars, unsigned char store_length ) { unsigned char char num; /* Step through the contents of each buffer */ for ( char_num = 0; char_num < store_length; char_num++ ) { /* Store the character. */ *target_store_chars = *new__chars; /* Update the number of scans for this character. */ if ( *new_chars == UNDECODABLE_CHAR ) { *target_store_char_scans = 0; } else { *target_store_char_scans = 1; } /* Increment to next buffer locations */ new_chars++ ; target_store_chars++ ; targe t_store_char_scans++ ; *********************************************************************** ****** FUNCTION : MergeOverlapOfStoredFrags AUTHOR: Jon Brandt, 8/24/98 REFERENCE: Product SDD DESCRIPTION: This function takes the information from both stored fragments and merges the specified amount of overlap. The result is stored the left fragment store The characters and the character scans are updated. The overlap region of the left fragment is on the right side of the fragment. The overlap region of the right fragment is on the left side of the fragment. INPUTS : FORMAL unsigned char overlap_length - length of the overlap region. INFORMAL current_symbology_obιect_ptr - global store that keeps a pointer to the current object. SYMB_RECONSTRUCT_INFO_TYPE structure for the current symbology: unsigned char *left_frag. chars - Pointer to the characters of the left fragment unsigned char *left_frag . char_scans - Pointer to the storage area for the number of scans for the left fragment . unsigned char left_frag. length - length of the left fragment . unsigned char *right_frag. chars - Pointer to the characters of the right fragment . unsigned char *rightfrag. char_scans - Pointer to the storage area for the number of scans for the right fragment . unsigned char right_frag. length - length of the right fragment . character_correlation_mιn_read - Minimum number of times each character has to be seen in the same position before the correlated label is accepted. OUTPUTS : FORMAL none INFORMAL SYMB_RECONSTRUCT_INFO_TYPE structure for the current symbology This information will be updated w th the merge, unsigned char *left_frag chars - Pointer to the characters of the left fragment . unsigned char *left_frag char_scans - Pointer to the storage " ~ area for the number of scans for the left fragment ************************************************************************ *****/ vo d MergeOverlapOfStoredFrags ( unsigned char overlap_length ) { SYMB_RECONSTRUCT_INFO_TYPE *corr_ nfo , unsigned char *left_frag_chars, unsigned char *left_frag_char_scans, unsigned char *πght_frag_chars , unsigned char *rιght_f ag_char_scans, unsigned char char_num; /* Get pointer to character correlation information for this ** symbology */ corr_mfo = current_symbology_obιect_ptr->reconstr_ιnfo, /* Set up pointers to character and scan buffers. ** The left buffer needs to start overlap_length from the ** right end of the fragment. The right buffer needs to ** start at the left end of the fragment considering that ** the right fragment is stored at the high end of the buffer */ lef t_f rag_chars = & (corr_ιnfo- >lef t_f rag . chars [corr_mfo- >left_f rag . length - overlap_length] ) , left_frag_char_scans = & (corr_mf o- >lef t_frag . char_scans [corr_mfo- >left_f rag . length - overlap_length] ) , rιght_f rag_chars = & (corr_mfo- >πght_f rag . chars [FRAG_BUFFER_SIZE - corr_mfo- >rιght_f rag . length] ) , r ght_frag_char_scans = & (corr_mf o- >nght_f rag . char_scans [FRAG_BUFFER_SIZE - corr_ιnfo- >πght_f rag . length] ) , /* Step through the contents of each buffer */ for ( char_num = 0 , char_num < overlap_length; char_num++ ) { /* The confidence level of the characters in the overlapping ** region is not high since they are near the end of the ** fragment Before each character position is merged, give the ** character from each fragment a maximum scans of ** character_correlatιon_mm_read This will keep a misdecoded ** character from overriding a correctly decoded character that ** may have only a few scans */ if ( *rιght_frag_char_scans > DM_Confιg character_correlatιon_mm_read ) { *rιght_frag_char_scans = DM_Conflg. character_correlatιon_mιn_read, } if ( *left_frag_char_scans > DM_Config . character_correlation_min_read ) { *left_frag_char_scans = DM_Config. character_correlation_min_read; } /* If the left fragment character is undecoded, get character ** from right fragment. */ if (*left_frag_chars == UNDECODABLE_CHAR) { *left_frag_chars = *right__frag_chars; *left_frag_char_scans = *right_frag_char_scans; } /* if left frag char is decoded and right frag char is decoded */ else /* left frag char is decoded */ if (*right_frag_chars != UNDECODABLE_CHAR) { /* If both chars are the same combine the number of scans. */ if ( *left_frag_chars == *rιght_frag_chars ) { *left_frag_char_scans += *right_frag_char_scans , if ( *left_frag_char_scans > DM_Config. character_correlation_max_scans ) { *left_frag_char_scans = DM_Config . character_correlation_max_scans ; } } else /* Both characters are not the same. */ { /* Store the character with the most scans and ** combine the scans by taking the difference of ** the two fragments. */ if ( *left_frag_char_scans > *right_frag_char_scans ) { *left_frag_char_scans -= *right_frag_char_scans; } else if ( *left_frag_char_scans < *right_frag_char_scans ) { *left_frag_chars = *right_frag_chars; *left_frag_char_scans = (unsigned char) (*right_frag_char_scans - *left_frag_char_scans) ; } else /* The scans are equal */ { *left_frag_chars = UNDECODABLE_CHAR; *left_frag_char_scans = 0; } } } /* Increment to next buffer locations */ left_frag_chars++ ; left_frag_char_scans++ ; right_frag_chars++ ; right_frag_char_scans++ ; } /*********************************************************************** ****** FUNCTION: StoreLeftFragment AUTHOR: Jon Brandt, 8/3/98 REFERENCE: Product SDD DESCRIPTION: This function stores a new left fragment or label in the left correlation store and also initializes the number of scans and length of the fragment . INPUTS : FORMAL LABEL_FRAGMENT_TYPE *target_store - Pointer to store for fragment including characters, scans, and length, unsigned char *new_frag - Pointer to the characters of the new fragment. unsigned char new_frag_length - length of the new fragment. INFORMAL none . OUTPUTS: FORMAL LABEL_FRAGMENT_TYPE *target_store - The target store will be updated with the new fragments . INFORMAL none ************************************************************************ *****/ void StoreLeftFragment ( LABEL_FRAGMENT_TYPE *target_store, unsigned char *new_frag, unsigned char new_frag_len ) { StoreCharsFromNewFrag ( target_store->chars, target_store- >char_scans, new_frag, new_frag_len ) ; target_store->length = new_frag_len; } *********************************************************************** ****** FUNCTION: StoreRightFragment AUTHOR: Jon Brandt, 8/3/98 REFERENCE: Product SDD DESCRIPTION: This function stores a new right fragment or label in the right — correlation store and also initializes the number of scans and length of the fragment . INPUTS : FORMAL LABEL_FRAGMENT_TYPE *target_store - Pointer to store for fragment including characters, scans, and length, unsigned char *new_frag - Pointer to the characters of the new fragment . unsigned char new_frag_length - length of the new fragment. INFORMAL none . OUTPUTS : FORMAL LABEL_FRAGMENT_TYPE *target_store - The target store will be updated with the new fragments. INFORMAL none ************************************************************************ *****/ void StoreRightFragment ( LABEL_FRAGMENT_TYPE *target_store, unsigned char *new_frag, unsigned char new__frag_len ) { StoreCharsFromNewFrag ( & (target_store->chars [FRAG_BUFFER_SIZE - new_frag_len] ) , & (target_store->char_scans [FRAG_BUFFER_SIZE - new_frag_len] ) , new_frag, new_frag_len ) ; target_store->length = new_frag_len; } /*********************************************************************** ****** FUNCTION: StripUndecodableEndChars AUTHOR: Jon Brandt, 8/24/98 REFERENCE: Product SDD DESCRIPTION: This function strips the undecodable characters from the end of the new fragment . If the fragment is a left fragment, the function looks on the right side of the fragment. If the fragment is a right fragment, the function looks on the left side of the fragment. INPUTS : FORMAL - unsigned char fragment_type - type of label fragment. LEFT_SIDE_FRAGMENT - Only part of the left side of label is ready . RIGHT_SIDE_FRAGMENT - Only part of the right side of label is ready. INFORMAL NEW_FRAG_CHARS - IntermediateLabelBuffer - global variable pointing to the start location of the buffer that has the new fragment . NEW_FRAG_LEN - IntermediateLength - global variable of the length of the new fragment. OUTPUTS : FORMAL none INFORMAL NEW_FRAG_CHARS - IntermediateLabelBuffer - characters may be modified when the undecodable characters are stripped. NEW_FRAG_LEN - IntermediateLength - length may be modified when the undecodable characters are stripped. ************************************************************************ ***** void StripUndecodableEndChars ( unsigned char fragment_type ) { signed short char_num; unsigned char num_undec_chars; num undec chars = 0 ; if ( (fragment_type & LEFT_SIDE_FRAGMENT) != 0) { for ( char_num = NEW_FRAG_LEN - 1; char_num >= 0; char_num-- { if ( NEW_FRAG_CHARS [char_num] == UNDECODABLE_CHAR ) { num_undec_chars++ ; } else { break; } } NEW_FRAG_LEN -= num_undec_chars ; } else if ( (fragment_type & RIGHT_SIDE_FRAGMENT) != 0) { for ( char_num = 0; char_num < NEW_FRAG_LEN; char_num++ ) { if ( NEW_FRAG_CHARS [char_num] == UNDECODABLE_CHAR ) { num_undec_chars++ ; } else { break ; } } if ( num__undec_chars > 0 ) { NEW_FRAG_LEN -= num_undec_chars ; memmove ( NEW_FRAG_CHARS , & (NEW_FRAG_CHARS [num_undec_chars] ) , NEW_FRAG_LEN ) ; } } } FUNCTION : StitchLabelFragmentsOneFixedLength AUTHOR: Jon Brandt, 8/25/98 REFERENCE: Product SDD DESCRIPTION: This function attempts to stitch the left and right fragments for a symbology with one fixed length. If it is successful, a TRUE is returned and the complete label is stored in the left fragment storage area. The scans for the new label is a combination of both fragments. If the stitch fails, a FALSE is returned. The following rules are used for fixed length stitching with one length: 1) When the left and right fragments are stitched, at least 2 characters have to match and overlap. 2) Overlapping characters can be the same character. INPUTS : FORMAL none INFORMAL current_symbology_object_ptr - global store that keeps a pointer to the current object. SYMB RECONSTRUCT INFO TYPE reconstr info; stitch_lenl - This label length will be used to attempt a stitch of the fragments . OUTPUTS : FORMAL BOOLEAN success - TRUE is stitching worked. FALSE otherwise. INFORMAL RECONSTRUCT_INFO_TYPE *reconstr_mfo; — Some of the reconstruction information for this symbology may be modified if stitching is a success. ************************************************************************ *****/ BOOLEAN StitchLabelFragmentsOneFιxedLength( void ) { unsigned char stιtch_len; /* Check to see if stitching is currently enabled */ if ( (ActiveDecodmgAlgs & DM_FIXED_LENGTH_STITCHING_MASK) != 0 ) { /* Get the fixed length */ /* Evaluate if the stitch meets requirements. */ if ( EvaluateStitchmgMatchAllowDupChars ( stιtch_len ) >= FIXED_LENGTH_STITCHING_OVERLAP ) { /* It meets requirements so stitch the fragments. */ StitchFragmentsAtLength ( stιtch_len ); return TRUE; } /* Requirements for stitching are not met so return FALSE. */ return FALSE; } *********************************************************************** ****** FUNCTION: StitchLabelFragmentsTwoFixedLengths AUTHOR: Jon Brandt, 8/25/98 REFERENCE: Product SDD DESCRIPTION: This function attempts to stitch the left and right fragments at 2 lengths of a fixed length symbology. If it is successful, a TRUE is returned and the complete label is stored m the left fragment storage area. The scans for the new label is a combination of both fragments. If the stitch fails, a FALSE is returned. The following rules are used for a two fixed length stitching: 1) When the left and right fragments are stitched, at least 2 characters have to match and overlap. 2) Overlapping characters cannot all be the same character. INPUTS : FORMAL none INFORMAL current_symbology_object_ptr - global store that keeps a pointer to the current object. SYMB_RECONSTRUCT_INFO_TYPE *reconstr_info; stitch_lenl - This label length will be used to attempt a stitch of the fragments. stitch_len2 - This label length will be used to attempt a stitch of the fragments. OUTPUTS : FORMAL BOOLEAN success - TRUE is stitching worked. FALSE otherwise. INFORMAL SYMB_RECONSTRUCT_INFO_TYPE *reconstr_info; Some of the reconstruction information for this symbology may be modified if stitching is a success. ************************************************************************ *****/ BOOLEAN StitchLabelFragmentsTwoFixedLengths ( void ) { unsigned char max_num_matching_chars; unsigned char success_len; unsigned char matching_chars ; unsigned char stitch_len; /* Check to see if stitching is currently enabled */ if ( (ActiveDecodmgAlgs & DM_FIXED_LENGTH_STITCHING_MASK) != 0 ) { max_num_matching_chars = 0; success_len = 0; /* It's a good idea to first attempt a stitch for length #1 because ** it is the longer length of the two lengths and it will have ** priority over the shorter length if there are the same number ** of matching characters. */ /* Get fixed length 1 */ stitch_len = current_symbology_object_ptr->reconstr_info- >stitch lenl; /* Evaluate if the stitch for lengthl meets requirements. */ matching_chars = EvaluateStitchingMatchRejectDupChars ( stitch_len ) ; if ( matching__chars > 0 ) max_num_matching_chars = matching_chars; success_len = stitch_len; } /* Get fixed length 2 */ stitch_len = current_symbology_object_ptr->reconstr_info- >stitch__len2 ; /* Evaluate if the stitch for length2 meets requirements. */ matching_chars = EvaluateStitchingMatchRejectDupChars ( stitch_len ) ; if ( matching_chars > max_num__matching_chars ) { max_num_matching_chars = matching__chars; success len = stitch len; /* If the number of matching characters meet requirements ** stitch the two fragments. */ if ( max_num_matching_chars >= FIXED_LENGTH_STITCHING_OVERLAP { /* It meets requirements so stitch the fragments. */ StitchFraqmentsAtLength ( success_len ); return TRUE; } } /* Requirements for stitching are not met so return FALSE. */ return FALSE; /*********************************************************************** ****** FUNCTION: StitchLabelFragmentsVariableLength AUTHOR: Jon Brandt, 8/10/98 REFERENCE: Product SDD DESCRIPTION: This function attempts to stitch the left and right fragments at all lengths of the configured range for this symbology. If it is successful, a TRUE is returned and the complete label is stored in the left fragment storage area. The scans for the new label is a combination of both fragments . If the stitch fails, a FALSE is returned. The following rules are used for variable length stitching: 1) When the left and right fragments are stitched, at least 4 characters have to match and overlap. 2) Overlapping characters cannot all be the same character. INPUTS : FORMAL none INFORMAL current_symbology_ob ect_ptr - global store that keeps a pointer to the current object. SYMB_RECONSTRUCT_INFO_TYPE *reconstr_info ; stitch_lenl - This is the minimum label length of the acceptable range for this symbology. stitch_len2 - This is the maximum label length of the acceptable range for this symbology. OUTPUTS : FORMAL BOOLEAN success - TRUE is stitching worked. FALSE otherwise. INFORMAL RECONSTRUCT_INFO_TYPE *reconstr_info; Some of the reconstruction information for this symbology may be modified if stitching is a success. ********************** * ************************ * ********************** * * *****/ BOOLEAN StitchLabelFragmentsVariableLength( void ) { SYMB_RECONSTRUCT_INFO_TYPE *corr_info ; unsigned char max num_matching_chars ; unsigned char success_len; unsigned char matching_chars; signed char stitch_len; signed char min_stitch_len; signed char frag_stitch_extreems; /* Check to see if stitching is currently enabled */ if ( (ActiveDecodingAlgs & DM_VARIABLE_LENGTH_STITCHING_MASK) != 0 ) { max_num_matching_chars = 0; success_len = 0; /* Get pointer to character correlation information for this ** symbology. */ corr_info = current_symbology_object_ptr->reconstr_info; /* It's a good idea to first attempt a stitch of the longer lengths ** because they will have priority over the shorter length if there ** are the same number of matching characters. */ /* Get configured maximum length for the starting length. */ stitch_len = current_symbology_object_ptr->reconstr_info- >stitch len2; /* Determine the fragment maximum stitching length using the available ** fragments The fragment maximum stitching length is the length ** w th the minimum overlap. */ frag_stιtch_extreems = (signed char) ((signed char) corr_mfo- >left_frag. length ~ ~ + (signed char) corr_mfo->πght_frag. length - (signed Char) VARIABLE_LENGTH_STITCHING_OVERLAP) • /* Now determine which maximum stitching length to use Use the ** minimum of the configured and fragment maximum stitching lengths. */ if ( frag_stιtch_extreems < stιtch_len ) { stιtch_len = frag_st tch_extreems, } /* Get configured minimum stitching length */ mm_stιtch_len = current_symbology_obιect_ptr->reconstr_mfo- >stιtch_lenl ; /* Determine the fragment minimum stitching length using the available ** fragments The fragment minimum stitching length is the size of the ** biggest fragment */ if ( corr_mf o- >lef t_f rag . length > corr_mfo- >πght_f rag . length ) { frag_stιtch_extreems = corr_mfo- >lef t_f rag length, } else { f rag_stιtch_extreems = corr_mfo- >πght_frag length, } /* Now determine which minimum stitching length to use Use the ** maximum of the configured and fragment minimum stitching lengths . */ f ( frag_stιtch_extreems > mm_stιtch_len ) { mm_stιtch_len = f rag_stιtch_extreems , } /* Evaluate if the stitch for each length to see if it meets requirements. */ for ( ,-stιtch_len >= mm_stιtch_len; st tch_len-- ) { matchmg_chars = EvaluateStitchingMatchReηectDupChars ( (unsigned char) stιtch_len ) , /* If we have a better match, store the length */ if ( matchmg_chars > max_num matchmg_chars ) { max num_matching__chars = matching_chars; success_len = stitch_len; } } /* If the number of matching characters meet requirements ** stitch the two fragments. ~ ~ * / if ( max_num_matching_chars >= VARIABLE_LENGTH_STITCHING_OVERLAP ) { /* It meets requirements so stitch the fragments. */ StitchFragmentsAtLength ( success_len ); return TRUE; } } /* Requirements for stitching are not met so return FALSE. */ return FALSE; } /*********************************************************************** ****** FUNCTION: StitchLabelFragmentsEAN13 AUTHOR: Jon Brandt, 8/25/98 REFERENCE: Product SDD DESCRIPTION: This function attempts to stitch the left and right fragments for EAN13. It also verifies that the guards are in the correct position to make sure the correct pieces were used to make this label . If it is successful, a TRUE is returned and the complete label is stored in the left fragment storage area. The scans for the new label is a combination of both fragments. If the stitch fails, a FALSE is returned. The following rules are used for EAN13. 1) When the left and right fragments are stitched, at least 2 characters have to match and overlap. 2) Overlapping characters can be the same character. 3) There has to be left, middle, and right guard present in the result. INPUTS : FORMAL none INFORMAL current_symbology_obj ect_ptr - global store that keeps a pointer to the current object. SYMB_RECONSTRUCT_INFO_TYPE structure for the current symbology: unsigned char *left_frag. chars - Pointer to the characters of the left fragment. OUTPUTS : FORMAL BOOLEAN success - TRUE is stitching worked. FALSE otherwise. INFORMAL SYMB_RECONSTRUCT_INFO_TYPE *reconstr_info; Some of the reconstruction information for this symbology may be modified if stitching is a success. ************************************************************************ ***** / /* Set up defines for locations of guards */ #define EAN13_LEFT_GUARD_POSITION (0) #define EAN13_CΞNTER_GUARD_POSITION (7) ftdefine EAN13 RIGHT GUARD POSITION (14) BOOLEAN StitchLabelFragmentsEAN13 ( void ) unsigned char *label chars; SYMB_RECONSTRUCT_INFO_TYPE *corr_info; /* Check to see if stitching is currently enabled */ if ( (ActiveDecodingAlgs & DM_FIXED_LENGTH_STITCHING_MASK) != 0 ) { /* Evaluate if the stitch meets requirements. */ if ( EvaluateStitchingMatchAllowDupChars ( EAN13_STITCHING_LEN ) >= FIXED_LENGTH_STITCHING_OVERLAP ) { /* It meets requirements so stitch the fragments. */ StitchFragmentsAtLength ( EAN13_STITCHING__LEN ); /* Get pointer to characters in left fragment buffer. */ corr_info = current_symbology_object_ptr->reconstr_info; label_chars = corr_info->left_frag. chars; /* Now check to make sure the correct guards are ** in the correct places. */ if ( (label_chars[EAN13_LEFT_GUARD_POSITION] == UPC_RIGHT_LEFT_GUARD) && (label_chars [EAN13_CENTER_GUARD_POSITION] == UPC_CENTER_GUARD) && (label_chars [EAN13_RIGHT_GUARD_POSITION] == UPC_RIGHT_LEFT_GUARD) ) { /* Everything looks good so return a TRUE. */ return TRUE; else { /* Label was stitched with bad data. Throw out the data. */ corr_info->left_frag. length = 0; corr_info->right_frag. length = 0; } } } /* Requirements for stitching are not met so return FALSE. */ return FALSE; } *********************************************************************** ****** FUNCTION : StitchLabelFragmentsEANδ AUTHOR: Jon Brandt, 8/25/98 REFERENCE: Product SDD DESCRIPTION: This function attempts to stitch the left and right fragments for EAN8. It also verifies that the guards are in the correct position to make sure the correct pieces were used to make this label . If it is successful, a TRUE is returned and the complete label is stored in the left fragment storage area. The scans for the new label is a combination of both fragments. If the stitch fails, a FALSE is returned. The following rules are used for EAN8. 1) When the left and right fragments are stitched, at least 2 characters have to match and overlap . 2) Overlapping characters can be the same character. 3) There has to be left, middle, and right guard present in the result . INPUTS : FORMAL none INFORMAL current_symbology_object_ptr - global store that keeps a pointer to the current object. SYMB_RECONSTRUCT_INFO__TYPE structure for the current symbology: unsigned char *left_frag. chars - Pointer to the characters of the left fragment. OUTPUTS : FORMAL BOOLEAN success - TRUE is stitching worked. FALSE otherwise. INFORMAL SYMB_RECONSTRUCT_INFO_TYPE *reconstr_info; Some of the reconstruction information for this symbology may be modified if stitching is a success. ************************************************************************ ***** /* Set up defines for locations of guards */ #defme EAN8_LEFT_GUARD_POSITION (0) #defme EAN8_CENTER_GUARD_P0SITI0N (5) #defme EAN8_RIGHT_GUARD_POSITION (10) BOOLEAN ~ StιtchLabelFragmentsEAN8 ( void ) { unsigned char *label_chars, SYMB_RECONSTRUCT_INFO_TYPE *corr_info; /* Check to see if stitching is currently enabled */ if ( (ActiveDecod gAlgs & DM_FIXED_LENGTH_STITCHING_MASK) != 0 ) { /* Evaluate if the stitch meets requirements */ if ( EvaluateStitchmgMatchAllowDupChars ( EAN8_STITCHING_LEN ) >= FIXED_LENGTH_STITCHING_OVERLAP ) { /* It meets requirements so stitch the fragments. */ StιtchFragmentsAtLength( EAN8_STITCHING_LEN ); /* Get pointer to characters in left fragment buffer. */ corr_mfo = current_symbology_ob 3 ect_ptr >reconstr_ιnfo; label_chars = corr__mfo->left_frag. chars, /* Now check to make sure the correct guards are ** in the correct places. */ if ( (label_chars[EAN8_LEFT_GUARD_POSITION] == UPC_RIGHT_LEFT_GUARD) && (label ^ chars [EAN8_CENTER_GUARD_POSITION] == UPC_CENTER_GUARD) && (label_chars [EAN8_RIGHT_GUARD__P0SITI0N] == UPC_RIGHT_LEFT_GUARD) ) { /* Everything looks good so return a TRUE. */ return TRUE, } else { /* Label was stitched with bad data. Throw out the data. */ corr_mfo->left_frag. length = 0; corr_info- >right_frag . length = 0 ; /* Requirements for stitching are not met so return FALSE. */ return FALSE; *********************************************************************** ****** FUNCTION : StitchLabelFragmentsUPCE AUTHOR: Jon Brandt, 8/25/98 REFERENCE: Product SDD DESCRIPTION: This function attempts to stitch the left and right fragments for UPCE. It also verifies that the guards are in the correct position to make sure the correct pieces were used to make this label. If it is successful, a TRUE is returned and the complete label is stored in the left fragment storage area. The scans for the new label is a combination of both fragments. If the stitch fails, a FALSE is returned. The following rules are used for UPCE. 1) When the left and right fragments are stitched, at least 2 characters have to match and overlap . 2) Overlapping characters can be the same character. 3) There has to be left and right upce guard present in the result. INPUTS : FORMAL none INFORMAL current_symbology_object_ptr - global store that keeps a pointer to the current object. SYMB_RECONSTRUCT_INFO_TYPE structure for the current symbology: unsigned char *left_frag. chars - Pointer to the characters of the left fragment. OUTPUTS : FORMAL BOOLEAN success - TRUE is stitching worked. FALSE otherwise. INFORMAL SYMB_RECONSTRUCT_INFO_TYPE *reconstr_info ; Some of the reconstruction information for this symbology may be modified if stitching is a success. ************************************************************************ *****/ /* Set up defines for locations of guards */ #define UPCE_LEFT_GUARD_POSITION (0) #define UPCE_RIGHT_GUARD_POSITION (7) BOOLEAN StitchLabelFragmentsUPCE ( void ) { unsigned char *label_chars; SYMB_RECONSTRUCT_INFO_TYPE *corr_info; /* Check to see if stitching is currently enabled */ if ( (ActiveDecodingAlgs & DM_FIXED_LENGTH_STITCHING_MASK) != 0 ) /* Evaluate if the stitch meets requirements */ if ( EvaluateStitch gMatchAllowDupChars ( UPCE_STITCHING_LEN ) >= FIXED_LENGTH_STITCHING_OVERLAP ) { /* It meets requirements so stitch the fragments. */ St tchFragmentsAtLength ( UPCE_STITCHING_LEN ) ; /* Get pointer to characters left fragment buffer. */ corr_mfo = current_symbology_obηect_ptr->reconstr_info; label_chars = corr_mfo->left_frag. chars , /* Now check to make sure the correct guards are ** m the correct places. */ if ( (label_chars [UPCE_LEFT_GUARD_POSITION] == UPC_RIGHT_LEFT_GUARD) && (label_chars tUPCE_RIGHT_GUARD_POSITION] == UPCE_RIGHT_GUARD) ) { /* Everything looks good so return a TRUE. */ return TRUE, } else { /* Label was stitched with bad data Throw out the data */ corr_info->left_frag. length = 0; corr_mfo->rιght_frag. length = 0; /* Requirements for stitching are not met so return FALSE. */ return FALSE; } *********************************************************************** ****** FUNCTION : EvaluateStitch gMatchAllowDupChars AUTHOR: Jon Brandt, 8/7/98 REFERENCE: Product SDD DESCRIPTION: This function evaluates the stitch of the left and right fragments at the specified length. This function allows all the matching characters in the overlap region to have the same value. It returns the number of matched characters if the stitch meets the following criteria: 1. Either fragment cannot be greater than the stitching length. 2. At least 3/4 of the characters in the overlap region, that have decoded characters, are identical m both fragments. 3. Each character that is identical m the overlap region must also have Mm Char Corr Scans scans . If the criteria is not met, a 0 is returned to indicate a stitching failure . INPUTS : FORMAL unsigned char stitch_len - the stitching length to evaluate. INFORMAL current_symbology_obj ect_ptr - global store that keeps a pointer to the current object. SYMB_RECONSTRUCT_INFO_TYPE structure for the current symbology: unsigned char *left_frag. chars - Pointer to the characters of the left fragment, unsigned char *left_frag. char_scans - Pointer to the storage area for the number of scans for the left fragment. unsigned char left_frag. length - length of the left fragment . unsigned char *right_frag. chars - Pointer to the characters of the right fragment. unsigned char *rightf ag. char_scans - Pointer to the storage area for the number of scans for the right fragment . unsigned char right_frag. length - length of the right fragment . character_correlation_min_read - Minimum number of times each character has to be seen in the same position before the correlated label is accepted. OUTPUTS : FORMAL unsigned char matching_chars - number of characters that match in the overlapping region. A 0 indicates one of the stitching requirements were not met. INFORMAL none ************************************************************************ ***** unsigned char EvaluateStitchingMatchAllowDupChars ( unsigned char stitch Len ) { SYMB_RECONSTRUCT_INFO_TYPE *Corr_infO ; unsigned char *left_frag_chars; unsigned char *left_frag_char_scans ; unsigned char *right_frag_chars ; unsigned char *right_frag_char_scans; unsigned char char_num; signed char overlap_length; unsigned char adjusted_overlap_len; unsigned char delta__overlap_length; unsigned char num_matchmg_chars; unsigned char num_decoded_chars ; /* Initialize to no matching or decoded characters */ num__matchιng_chars = 0 ; num_decoded_chars = 0 ; /* Get pointer to character correlation information for this ** symbology. */ corr_info = current_symbology_object_ptr->reconstr_ιnfo; /* Determine amount of overlap for the current fragments. */ overlap_length = (signed char) ((signed char) corr_mfo- >left_frag . length + (signed char) corr__ιnfo->nght_frag . length - (signed char) stitch_len) ; /* Make sure there is overlap. Also verify that neither of the ** fragments are longer than the stitching length. */ if ( (overlap_length > 0) && ! ( corr_mfo->lef t__f rag . length > stιtch_len ) && ! ( corr_info- >rιght_f rag . length > stιtch_len ) ) { /* Set up pointers to character and scan buffers ** The left buffer needs to start overlap_length from the ** right end of the fragment. The right buffer needs to ** start at the left end of the fragment considering that ** the right fragment is stored at the high end of the buffer. */ left_frag_chars = & (corr_ιnfo->left_frag. chars [corr_ιnfo->left_frag. length - (unsigned char) overlap_length] ) ; left_frag_char_scans = & (corr_mfo->left_frag . char_scans [corr_ιnfo->left_frag. length - (unsigned char) overlap_length] ) ; rιght_frag_chars = & (corr_mfo->rιght_frag. chars [FRAG_BUFFER_SIZE - corr_ιnfo->right_frag . length] ) ; rιght_frag_char_scans = & (corr_info->πght_frag. char_scans [FRAG_BUFFER_SIZE - corr_ιnfo->right_frag . length] ) ; /* Strip end characters from left fragment if they don't match ** right fragment. Then adjust overlap length Only allow 1/2 of ** the fragment to be stripped. */ overlap_length = (signed char) DetermmeLeftFragMergeLen ( left_frag_chars, right_frag_chars, (unsigned char) overlap_length, (unsigned char) (overlap_length/2) ) ; /* Strip end characters from right fragment if they don't match ** left fragment. Then adjust fragment pointers. Only allow 1/2 ** of the fragment to be stripped. */ adjusted_overlap_len = DetermineRightFragMergeLen ( right_frag_chars , left_frag_chars , (unsigned char) overlap_length, (unsigned char) overlap_length, (unsigned char) (overlap_length/2) ) ; delta_overlap__length = (unsigned char) ( (unsigned char) overlap_length - adjusted_overlap_len) ; left_frag_chars += delta_overlap_length; left_frag_char_scans += delta_overlap_length; " ~ right_frag_chars += delta_overlap_length; right_frag_char_scans += delta_overlap_length; overlap_length = (signed char) adjusted_overlap_len; /* Go through the overlap region and determine how many ** characters match and have enough combined scans. */ for (char_num = 0; char ^ num < (unsigned char) overlap_length; char num++) { /* Find overlap position where both characters are decoded. */ if ( ( *left__frag_chars != UNDECODABLE_CHAR ) && ( *right_frag_chars != UNDECODABLE_CHAR ) ) { /* Find characters that match and have enough combined ** scans. Check that the sum of scans -= min_scans * 2 */ if ( (*left_frag_chars == *right_frag_chars) && (*left__frag_char_scans >= DM_Config. character_correlatιon_min_read) && (*right_frag_char_scans >= DM_Config . character_correlatιon_min__read) ) { num_matchmg_chars++ ; } /* Count number of decoded character pairs. */ num_decoded_chars++ ; } left_frag_chars++ ; left_frag_char_scans++; right_frag_chars++ ; right_frag_char_scans++ ; } /* Make sure that 75% (3/4) of decoded characters match */ num_decoded_chars -= (num_decoded_chars/4) ; if ( num_matching_chars < num_decoded_chars ) { num_matching_chars = 0 ; } } return num_matching_chars; /*********************************************************************** ****** FUNCTION : EvaluateStitchingMatchRejectDupChars AUTHOR: Jon Brandt, 8/7/98 REFERENCE: Product SDD DESCRIPTION: This function evaluates the stitch of the left and right fragments at the specified length. This function requires that there be at least three different characters of the matching characters in the overlapping region. It returns the number of matched characters if the stitch meets the following criteria: 1. Either fragment cannot be greater than the stitching length. 2. At least 3/4 of the characters in the overlap region, that have decoded characters, are identical in both fragments. 3. Each character that is identical in the overlap region must also have Min_Char_Corr_Scans scans in each fragment . 4. There must be at least 3 different matching characters in the overlapping region or the stitch is rejected. If the criteria is not met, a 0 is returned to indicate a stitching failure . INPUTS : FORMAL unsigned char stitch_len - the stitching length to evaluate. INFORMAL current_symbology_object_ptr - global store that keeps a pointer to the current object. SYMB_RECONSTRUCT_INFO_TYPE structure for the current symbology: unsigned char *left_frag. chars - Pointer to the characters of the left fragment. unsigned char *left_frag . char_scans - Pointer to the storage area for the number of scans for the left fragment, unsigned char left_frag. length - length of the left fragment . unsigned char *right_frag. chars - Pointer to the characters of the right fragment . unsigned char *rightfrag. char_scans - Pointer to the storage area for the number of scans for the right fragment . unsigned char right_frag. length - length of the right fragment . character_correlation_min_read - Minimum number of times each character has to be seen in the same position before the correlated label is accepted. OUTPUTS : FORMAL unsigned char matching_chars - number of characters that match in the overlapping region A 0 indicates one of the stitching requirements were not met INFORMAL none ************************************************************************ ***** unsigned char EvaluateStitch gMatchRejectDupChars ( unsigned char stιtch_len ) { SYMB_RECONSTRUCT_INFO_TYPE *corr_ιnfo; unsigned char *left_frag_chars, unsigned char *left_frag_char_scans; unsigned char *πght_frag_chars , unsigned char *rιght_frag_char_scans; unsigned char char__num, signed char overlap_length, unsigned char adjusted_overlap_len; unsigned char delta_overlap_length; unsigned char num_matchιng_chars; unsigned char num_decoded_chars; unsigned char dup_charl, unsigned char dup_char2 ; un s igned char num_dιfferent chars, /* Initialize to no matching or decoded characters */ num_matchmg_chars = 0 ; num_decoded_chars = 0 ; num_dιfferent_chars = 0, /* Get pointer to character correlation information for this ** symbology. */ corr_mfo = current_symbology_object_ptr->reconstr_ιnfo, /* Determine amount of overlap for the current fragments */ overlap_length = (signed char) ((signed char) corr_mfo- >left_frag . length + (signed char) corr_ιnfo- >rιght_frag . length - (signed char) stιtch_len) ; /* Make sure there is overlap Also verify that neither of the ** fragments are longer than the stitching length */ if ( (overlap_length > 0) && ' ( corr_mfo->left_frag length > stιtch_len ) && ' ( corr_ fo->rιght_frag length > stιtch_len ) ) { /* Set up pointers to character and scan buffers ** The left buffer needs to start overlap_length from the ** right end of the fragment The right buffer needs to ** start at the left end of the fragment considering that ** the right fragment is stored at the high end of the buffer. */ left_frag_chars = & (corr_mfo->left_frag. chars [corr_mfo->left_frag. length - (unsigned char) overlap_length] ) ; left_frag_char_scans = & (corr_mfo->left_frag. char_scans [corr_info->left_frag. length - (unsigned char) overlap_length] ) ; right_frag_chars = & (corr__info->right_frag. chars [FRAG_BUFFER_SIZE - corr_info->right_frag . length] ) ; right_frag_char_scans = & (corr_info->right_frag. char__scans [FRAG_BUFFΞR_SIZE - corr__info->right_frag . length] ) ; /* Strip end characters from left fragment if they don't match ** right fragment. Then adjust overlap length. Since we are ** rejecting duplicate characters, we will also restrict the ** number of stripped characters to 1. */ overlap_length = (signed char) DetermineLeftFragMergeLen ( left_frag_chars , right_frag_chars , (unsigned char) overlap_length, 1 ); /* Strip end characters from right fragment if they don't match ** left fragment. Then adjust fragment pointers. Since we are ** rejecting duplicate characters, we will also restrict the ** number of stripped characters to 1. */ adjusted_overlap_len = DetermineRightFragMergeLen ( right_frag_chars , left_frag_chars , (unsigned char) overlap_length, (unsigned char) overlap_length, 1 ) ; delta_overlap_length = (unsigned char) ( (unsigned char) overlap_length - adjusted_overlap_len) ; left_frag_chars += delta_overlap_length; left_frag_char_scans += delta_overlap_length; right_frag_chars += delta_overlap_length; right_frag_char_scans += delta_overlap_length; overlap_length = (signed char) adjusted_overlap__len; /* Go through the overlap region and keep track of the number ** of different characters, the number of matching pairs, ** and the number of decoded pairs. */ for (char_num = 0; char num < (unsigned char) overlap_length; char num++) { /* Find overlap position where both characters are decoded. */ if ( ( *left_frag_chars != UNDECODABLE_CHAR ) && ( *right_frag_chars != UNDECODABLE_CHAR ) ) { /* Find characters that match and have enough ** scans. Check that the scans >= min_scans */ if ( (*left_frag_chars == *right_frag_chars) && (*left_frag_char_scans >= DM_Config . character_correlation_min_read) && (*right_frag_char_scans >= DM_Config . character_correlation_min_read) ) { /* Check if we still need to check for differing characters . ** We only care if there is less than 3 different characters . */ if ( num_dif ferent_chars < 3 ) { /* If we don't have any different characters, save this one . * / if ( num_different_chars 0 ) { num_different_chars = 1; dup_charl = *left_frag_chars ,- } /* If we've only seen one character value, ** check if the new character is different */ else if ( num_different_chars == 1 ) { if ( dup_charl != *left_frag_chars ) { /* The new character is different so save it * / num_different_chars = 2; dup__char2 = *left_frag_chars ; /* If we've only seen two character values, ** check if the new character is different ** from the 2 stored ones. */ else if ( num_different_chars == 2 ) { if ( (dup_charl != *left_frag_chars) && (dup__char2 != *left_frag__chars) ) { /* The new character is different so increment counter. */ num different chars = 3; num matching_chars++; } /* Count number of decoded character pairs. */ num decoded chars++; /* update pointers to next position */ left_frag_chars++ ; left_f ag_char_scans++ ; right_frag_chars++ ; right_frag_char_scans++ ; /* Make sure that 75% (3/4) of decoded characters match */ /* Subtract 1/4 of decoded characters for comparison */ num decoded_chars -= (num_decoded chars/4) ; /* If matching characters < 3/4 decoded characters ** the stitch is not acceptable. ** If there are less than 3 different characters, the stitch ** is not acceptable. */ if ( (num_matching_chars < num_decoded_chars) I I (num different chars < 3) ) num_matching_chars = 0 ,- } return num_matching_chars; /*********************************************************************** ****** FUNCTION: StitchFragmentsAtLength AUTHOR: Jon Brandt, 8/7/98 REFERENCE: Product SDD DESCRIPTION: This function stitches the two fragments together at the length specified by the passed parameter. There are three sections of the final label that need to be considered: LEFT_NON_OVERLAPPING - The left characters of the label that are only covered by the left fragment characters . OVERLAPPING - The characters of the label that are covered by left and right fragment characters . The end characters of each fragment will not be merged if they differ from the other fragment. RIGHT_NON_OVERLAPPING - The right characters of the label that are only covered by the right fragment characters . INPUTS : FORMAL unsigned char stitch_len - the stitching length to evaluate. INFORMAL current_symbology_object_ptr - global store that keeps a pointer to the current object. SYMB_RECONSTRUCT_INFO_TYPE structure for the current symbology: unsigned char *left_frag. chars - Pointer to the characters of the left fragment . unsigned char *left_frag.char_scans - Pointer to the storage area for the number of scans for the left fragment . unsigned char left_frag. length - length of the left fragment . unsigned char *right_frag. chars - Pointer to the characters of the right fragment . unsigned char *πghtfrag. char_scans - Pointer to the storage area for the number of scans for the right fragment, unsigned char right_frag . length - length of the right fragment . OUTPUTS . FORMAL — SYMB_RECONSTRUCT_INFO_TYPE structure for the current symbology: unsigned char *left_frag. chars - Pointer to the characters of the left fragment unsigned char *left_frag. char_scans - Pointer to the storage area for the number of scans for the left fragment, unsigned char left_frag length - length of the left fragment unsigned char *rιght_frag. chars - Pointer to the characters of the right fragment . unsigned char *πghtfrag. char_scans - Pointer to the storage area for the number of scans for the right fragment, unsigned char rιght_frag. length - length of the right fragment INFORMAL none **** * *************** * ************************** * ************************ ***** StitchFragmentsAtLengthf unsigned char stιtch_length ) { SYMB_RECONSTRUCT_INFO_TYPE *corr_mfo; unsigned char *left_frag_chars, unsigned char *left_frag_char_scans; unsigned char *right_frag_chars ; unsigned char *rιght_frag_char_scans; unsigned char char_num; unsigned char overlap_length, unsigned char ad usted_overlap_length; unsigned char copy_length; /* Get pointer to character correlation information for this ** symbology. */ corr_ιnfo = current_symbology_ob ect_ptr->reconstr_mfo; /* Determine amount of overlap for the current fragments. */ overlap_length = (unsigned char) (corr_mfo->left_frag. length + corr_ιnfo->rιght_frag. length - stιtch__length) ; /* Set up pointers to character. ** The left buffer needs to start overlap_length from the ** right end of the fragment. The right buffer needs to ** start at the left end of the fragment considering that ** the right fragment is stored at the high end of the buffer. */ left_frag_chars = & (corr_info->left_frag. chars [corr_info->left_frag. length - (unsigned char) overlap_length] ) ; right_frag_chars = & (corr_info->right_frag. chars [FRAG_BUFFER_SIZE - corr_info->right_frag. length] ) ; /* Strip end characters from left fragment if they don't match ** right fragment. Then adjust overlap length. Allow 1/2 of the — ** overlap to be stripped. */ adjusted_overlap_length = DetermineLeftFragMergeLen ( left_frag_chars , right_frag_chars, overlap_length, overlap_length/2 ); corr_info->left_frag. length -= (overlap_length - adjusted_overlap_length) ; overlap_length = adjusted_overlap_length; /* Strip end characters from right fragment if they don't match ** left fragment. Then adjust fragment pointers. Allow 1/2 of the ** overlap to be stripped. */ adjusted_overlap_length = DetermineRightFragMergeLen ( right_frag_chars , lef _frag_chars , overlap_length, overlap_length, overlap_length/2 ) ; corr_info->right_frag. length -= (overlap_length - adjusted_overlap_length) ; overlap_length = adjusted_overlap_length; /* Leave all non-overlapping characters on the left side of the ** left fragment alone. No processing necessary. */ /* Merge the overlapping characters in the middle. */ MergeOverlapOfStoredFrags ( overlap_length ) ; /* Process the non-overlapping characters from the right side of the ** right fragment by copying them to the end of the left fragment. ** This will complete the full length label. */ left_frag_chars = & (corr_info->left_frag. chars [corr_info- >left_frag. length] ) ; left_frag_char_scans = & (corr_info->left_frag. char_scans [corr_info- >left_frag. length] ) ; right_frag_chars = & (corr_info->right_frag. chars [FRAG_BUFFER_SI E - corr_info->right_frag. length + overlap_length] ) ; right_frag_char_scans = &(corr_info- >right_frag . char_scans [FRAG_BUFFER_SIZE - corr_info->right_frag. length + overlap_length] ) ; copy_length = (unsigned char) (corr_info->right_frag. length - overlap_length) ; for ( char_num = 0; char_num < copy_length; char_num++ ) { *left_frag_chars = *right_frag_chars; *left_frag_char_scans = *right_frag_char_scans; left_frag_chars++ ; left_frag_char scans++; right_frag_chars++ ; right__frag_char_scans++ ; } /* Set new lengths for the fragments */ corr_info->left_frag. length = stitch_length; corr_info->right_frag. length = 0 ; /* Set flag that indicates a full length label is stored. */ corr_info->full_length_label = TRUE; } /*********************************************************************** ****** FUNCTION: ReVerifyCharCorrelation AUTHOR: Jon Brandt, 7/10/98 REFERENCE: Product SDD DESCRIPTION: This function sets all scans to 1 for the correlation buffer so that the characters will have to be verified with more scans. INPUTS : current_symbology_object_ptr - global store that keeps a pointer to the current object. RECONSTRUCT_INFO_TYPE structure for the current symbology: LabelLen - Length of reconstruction label OUTPUTS : RECONSTRUCT_INFO_TYPE structure for the current symbology: CharScans - Pointer to a buffer of the length of IntermediateLabel TotalCharScans - Sum of all character scans ************************************************************************ ***** void ReVerifyCharCorrelation ( void ) { unsigned char *corr_scans ; unsigned char char_num; unsigned char lbl_len; corr_scans = current_symbology_object_ptr->reconstr_info- >left_frag . char_scans ; lbl_len = current_symbology_object_ptr->reconstr_info- >left_frag. length; for ( char_num = 0; char_num < lbl_len; char_num++ ) { *corr_scans = 1; corr_scans++; } This code is an implementation of the algorithm to decode characters based upon calculated quality of detected character elements. This quality measure is calculated in part from comparison of element widths with target widths and comparison of edge strength values with expected values . / .*********************************************************************** ** BUILD_NEXT_CHARACTER : ; begin with the first element in the character LDAA #0 STAA ELEMENT INDEX STX _CHARACTER_LEADING_EDGE ; Code 39 characters always begin with a bar, regardless of direction LDAA #8OH STAA _BAR_BIT CLR _EDGE_PAIR_TOTAL CLRW ELEMENT DEVIATION TOTAL LDAA #UNDECODED_CHARACTER_MARKER STAA MATCHING CHARACTER LDD _NARROW_BAR_TARGET STD _NARROW_BAR_AVERAGE LDD _WIDE_BAR_TARGET STD _WIDE_BAR_AVERAGE LDD _NARROW_SPACE_TARGET STD NARROW SPACE AVERAGE LDD _WIDE_SPACE_TARGET STD _WIDE_SPACE_AVERAGE LDD _WIDE_BAR_TARGET ADDD _WIDE_SPACE_TARGET ASLD STD TOTAL DEVIATION UPPER THRESHOLD BUILD_NEXT_ELEMENT : ; assume that this element is made of 1 pair of edges LDAA #1 STAA _EDGE_PAIR_COUNT LDE 0 , X AIX #2 SET_ELEMENT_TARGETS : ; load either the bar or space targets, depending on what we are building LDAA _BAR_BIT BEQ BUILDING SPACE BUILDING_BAR : LDD _NARROW_BAR_TARGET STD _NARROW_ELEMENT_TARGET LDD _WIDE_BAR_TARGET STD WIDE ELEMENT TARGET BRA SET DEVIATION THRESHOLD BUILDING_SPACE : LDD _NARROW_S PACE_ TARGET STD _NARROW_ELEMENT_TARGET LDD _WIDE_SPACE_ TARGET STD WIDE ELEMENT TARGET SET_DEVIATION_THRESHOLD : ; set the deviation threshold for a s ingle element LDD _WIDE_ELEMENT_TARGET ASRD ASRD STD ELEMENT DEVIATION THRESHOLD DO ELEMENT COMPARISON : point to the location in the edge strength buffer which corresponds to this location in the raw data buffer TXY AIY #-2 LDD EDGE STRENGTH OFFSET ADY ; calculate the RTV or STV deviation, depending on if we are ; building a bar or a space LDAA _BAR_BIT BEQ CALCULATE_RTV_DEVIATION CALCULATE__STV_DΞVIATION : LDD 0 , Y SUBD _StvAverageStrength BCC CALCULATE STRENGTH DEVIATION NEGD BRA CALCULATE STRENGTH DEVIATION CALCULATE_RTV_DEVIATION : LDD 0 , Y SUBD _RtvAverageStrength BCC CALCULATE_STRENGTH_DEVIATION NEGD CALCULATE_STRENGTH_DEVIATION : SUBD _EDGE_STRENGTH_THRESHOLD BCC AMPLIFY_STRENGTH_DEVIATION CLRD BRA STORE_ABS_EDGE_STRENGTH AMPLIFY_STRENGTH_DEVIATION: ASLD ASLD STORE_ABS_EDGE_STRENGTH : STD STRENGTH DEVIATION ; first, see if this is a narrow element LDAA #NARROW_ELEMENT STAA _ELEMENT_TYPE ; compare the element width with the narrow element target TED SUBD _NARROW_ELEMENT_TARGET BCC CHECK_NARROW_POS_DEVIATION NEGD CHECK_NARROW_NEG_DEVIATION: ; the element width is LESS than the target ; compare the deviation from target with the allowable deviation CPD _ELEMENT_DEVIATION_THRESHOLD BLS WITHIN_ELEMENT_TOLERANCE ; if the deviation is too great, add another pair of edges BRA ADD_EDGES CHECK_NARROW_POS_DEVIATION: ; the element width is GREATER than the target ; compare the deviation from target with the allowable deviation CPD _ELEMENT_DEVIATION_THRESHOLD BLS WITHIN ELEMENT TOLERANCE ; if the deviation is too great, see if it is a wide element LDAA #WIDE_ELEMENT STAA _ELEMENT_TYPE ; compare the element width with the wide element target TED SUBD _WIDE_ELΞMENT_TARGET BCC CHECK_WIDE_POS_DEVIATION NEGD CHECK_WIDE_NEG_DEVIATION: ; the element width is LESS than the target ; compare the deviation from target with the allowable deviation CPD _ELEMENT_DEVIATION_THRESHOLD BLS WITHIN_ELEMENT_TOLERANCE ; if the deviation is too great, add another pair of edges BRA ADD_EDGES CHECK_WIDE_POS_DEVIATION: ; the element width is GREATER than the target ; compare the deviation from target with the allowable deviation, ; if the deviation is too great, it is an error CPD _ELEMENT_DEVIATION_THRESHOLD BHI ELEMENT ERROR WITHIN ELEMENT TOLERANCE: ; the deviation of the element width from the target is within tolerance, ; now see if the total deviation to this point is within tolerance ADDD _STRENGTH_DEVIATION STD _ELEMENT_DEVIATION ADDD _ELEMENT_DEVIATION_TOTAL CPD _TOTAL_DEVIATION_UPPER_THRESHOLD JBCC ELEMENT ERROR STD _ELEMENT_DEVIATION_TOTAL STE ELEMENT WIDTH STX _ELEMENT_TRAILING_EDGE ; check if the element pattern being generated matches a valid pattern JSR FIND_CHARACTER_MATCH JBCC ELEMENT VALID ; if the element pattern is not valid, subtract the deviation back out ; of the total accumulated LDD _ELEMENT_DEVIATION_TOTAL SUBD _ELEMΞNT_DEVIATION STD ELEMENT DEVIATION TOTAL if this is already a wide element don't bother adding more edges, that will only make it wider and it still won't be a valid pattern LDAA _ELEMENT_TYPE CMPA #WIDE_ELEMENT BEQ ELEMENT ERROR ADD_EDGES : increment the number of edges in this element, if it is less than the maximum allowed, add another pair of edges into the sum and threshold again LDAA _EDGE_PAIR_COUNT INCA CMPA #EDGE_PAIR_COUNT_MAX BHI ELEMENT_ERROR STAA _EDGE_PAIR_COUNT ADDE 0 , X ADDE 2 , X AIX #4 JBR DO ELEMENT COMPARISON ELEMENT_ERROR : ; we got here because of an error in the element width or pattern match ; if we have backed up all the way to the first element in the character ; then we are done LDAA _ELEMENT_INDEX JBEQ SEARCH_COMPLΞTE ; otherwise, back up to the previous element in this character DECA STAA _ELEMENT_INDEX TAB ; retrieve the number of edge pairs in the previous element LDY #_ELEMENT_EDGE_COUNT_L1ST ABY LDAA 0 , Y ; if there were less than the maximum allowable pairs of edges in the ; previous element, increment the count and continue, otherwise error INCA CMPA #EDGE_PAIR_COUNT_MAX BHI ELEMENT ERROR STAA EDGE PAIR COUNT retrieve the element type for this element LDY #_ELEMENT_TYPE_LIST ABY LDAA 0 , Y ANDA #0F0H STAA __BAR_BIT ASLB ; retrieve the trailing edge of the previous element in the raw data LDY #_ELEMENT_TRAILING_EDGE_LIST ABY LDX 0 , Y ; retrieve the deviation of the previous element and subtract it from ; the deviation total LDY #_ELEMENT_DEVIATION_LIST ABY LDE _ELEMENT_DEVIATION_TOTAL SUBE 0 , Y STE _ELEMENT_DEVIATION TOTAL ; retrieve the width of the previous element, add another pair of edges ; into the sum and threshold again LDY #_ELEMENT_WIDTH_L1ST ABY LDE 0,Y ADDE 0,X ADDE 2,X AIX #4 JBR SET ELEMENT TARGETS ELEMENT VALID : ,- we got here because the element width and pattern match were valid LDAB _ELEMENT_INDEX ; store the number of edge pairs in this element ~ LDY #_ELEMENT_EDGE_COUNT_LIST ABY LDAA _EDGE_PAIR_COUNT STAA 0 , Y ; add the number of edge pairs in this element into the sum for this ; character ADDA _EDGE_PAIR_TOTAL STAA EDGE PAIR TOTAL store the element type for this element LDY #_ELEMENT_TYPE_LIST BY LDAA _ELEMENT_TYPE ORAA _BAR_BIT STAA 0 , Y ASLB ; store the trailing edge of this element in the raw data LDY #_ELEMENT_TRAILING_EDGE_LIST ABY LDE _ELEMENT_TRAILING_EDGE STE 0 , Y store the deviation from target of this element LDY #_ELEMENT_DEVI TION ABY LDE ELEMENT DEVIATION STE 0,Y ; store the width of this element LDY #_ELEMENT_WIDTH_LIST ABY LDE _ELEMENT WIDTH STE 0,Y did we just build a bar or a space element LDAA BAR BIT BEQ BUILT_SPACE BUILT_BAR : ; if we just built a bar, clear the flag so that we will build ,- a space next CLR _BAR_BIT — ; save the width of the element just built in the appropriate ; running average LDAA _ELEMENT_TYPE CMPA #NARROW_ELEMENT BNE SAVE_WIDE_BAR SAVE_NARROW_BAR : ADDE _NARROW_BAR_AVERAGE ASRE STE _NARROW_BAR_AVERAGE BRA INCREMENT_INDEX SAVE_WIDE_BAR: ADDE WIDE_BAR_AVERAGE ASRE STE WIDE BAR AVERAGE BRA INCREMENT INDEX BUILT SPACE: ; if we just built a space, set the flag so that we will build ; a bar next LDAA #8OH STAA J3AR_BIT ; save the width of the element just built in the appropriate ; running average LDAA _ELEMENT_TYPE CMPA #NARROW_ELEMENT BNE SAVE_WIDE_SPACE SAVE_NARROW_SPACE : ADDE _NARROW_SPACE_AVERAGE ASRE STE _NARROW_SPACE_AVERAGE BRA INCREMENT_INDEX SAVE_WIDE_SPACE : ADDE _WIDE_SPACE_AVERAGE ASRE STE WIDE SPACE AVERAGE INCREMENT_INDEX : ; increment the index count, if we have not yet built enough elements ; to make a character, then continue LDAB _ELEMENT_INDEX INCB - STAB _ELEMENT_INDEX CMPB #ELEMENTS_PER_CHARACTER JBCS BUILD NEXT ELEMENT ; retrieve the character from the table which corresponds to the pattern ; which we have just built LDY #_CHARACTER_TABLE_BRANCH_LIST LDAB _ELEMENT_INDEX DECB ASLB ABY LDZ 0 , Y LDAA 0 , Z ; if the number of edge pairs in this character match the number for a valid ; character then we are done LDAB _EDGE_PAIR_TOTAL CMPB #ELEMENTS_PER_CHARACTER JBEQ NEXT_CHARACTER_VALID ; otherwise, we have done some reconstruction so we have to check for ; ambiguous character matches ; if this is the first matching character found for this set of edges then ; just save the character match LDAB _MATCHING_CHARACTER CMPB #UNDECODED_CHARACTER_MARKER BEQ SAVE_CHARACTER_MATCH ; otherwise, compare the total deviation for this match with the lower ; threshold set from a previous match, if we are lower than the threshold ; then this is a valid character so save it LDE _ELEMENT_DEVIATION_TOTAL CPE _TOTAL_DEVIATION_LOWER_THRESHOLD BCS SAVE CHARACTER MATCH ; otherwise, the deviation for this match is too close to the deviation from ; a previous match so we have an ambiguous character match ; don't save either character match, just mark it LDAA #AMBIGUOUS_CHARACTER_MARKER STAA _MATCHING_CHARACTER ; now jump back up and begin backing up through the tree, looking for ; other possible character matches — JBR ELEMENT_ERROR SAVE_CHARACTER_MATCH : ; we have a valid matching character so save it STAA _MATCHING_CHARACTER ; save the trailing edge of the last element as the trailing edge ; of this character LDD _ELEMENT_TRAILING_EDGE STD _CHARACTER_TRAILING_EDGE ; use the total deviation for this match to set upper and lower ; thresholds for deviation LDD _ELEMENT_DEVIATION_TOTAL TDE ASRD ASRD ASRD SDE STE TOTAL DEVIATION LOWER THRESHOLD ADE ADE STE TOTAL DEVIATION UPPER THRESHOLD ; now jump back up and begin backing up through the tree, looking for ; other possible character matches JBR ELEMENT ERROR SEARCH COMPLETE: ; we have completed searching the tree, if we have a matching character ; that is not UNDECODED or AMBIGUOUS then we are successful LDAA _MATCHING_CHARACTER CMPA #UNDECODED_CHARACTER_MARKER BEQ NEXT_CHARACTER_INVALID CMPA #AMBIGUOUS_CHARACTER_MARKER BEQ NEXT CHARACTER INVALID LDX _CHARACTER_LEADING_EDGE CLRE CALCULATE_CHARACTER_WIDTH : ADDE 0 , X AIX #2 CPX _CHARACTER_TRAILING_EDGE BCS CALCULATE__CHARACTER_WIDTH — STE _THIS_CHAR_WIDTH NEXT_CHARACTER_VALID : ; update the bar and space targets with the widths from this character LDE _NARROW_BAR_AVERAGE STE _NARROW_BAR_TARGET LDE _WIDE_BAR__AVERAGE STE _WIDE_BAR__TARGET LDE _NARROW_SPACE_AVERAGE STE _NARROW_SPACE_TARGET LDE _WIDE_SPACE_AVERAGE STE WIDE SPACE TARGET clear the CARRY bit to indicate a valid character match and return ANDP #0FEFFH RTS NEXT_CHARACTER_INVALID : LDX _CHARACTER_LEADING_EDGE ; set the CARRY bit to indicate an invalid character match and return ORP #100H RTS .******************************************************************** FIND_CHARACTER_MATCH : PSHM K,X LDAA _START_CHARACTER BEQ NOT_LOOKING_FOR_START CLR _START_CHARACTER LDZ #START CHARACTER TABLE BRA BEGIN ELEMENT MATCH NOT_LOOKING_FOR_START : LDAB _ELEMENT_INDEX TBA BNE LOAD LAST ADDRESS LDZ #FORWARD_CHARACTER_TABLE LDAB _FORWARD BEQ BEGIN_ELEMENT_MATCH LDZ #REVERSE_CHARACTER_TABLE BRA BEGIN ELEMENT MATCH LOAD_LAST_ADDRESS : DECB LDX # CHARACTER TABLE BRANCH LIST ASLB ABX LDZ 0,X BEGIN_ELEMENT_MATCH : TZY LDAB _ELEMENT_TYPE CMPB 0 , Z BEQ ELEMENT_MATCH_FOUND BCS ELEMENT_MATCH_NOT_FOUND ELEMENT_MATCH_LOOP : AIZ #10 CMPB 0 , Z BCS ELΞMENT_MATCH_NOT_FOUND BNE ELEMENT_MATCH_LOOP CMPA #0 BEQ ELEMENT_MATCH_FOUND STZ TEMP WORD BRANCH_VERIFY_LOOP : AIY #-1 AIZ #-1 LDAB 0, ,Y CMPB 0, ,Z BNE ELEMENT_MATCH_NOT_: DECA BNE BRANCH_VERIFY_LOOP LDZ TEMP WORD ELEMENT_MATCH_FOUND : AIZ #1 LDX #_CHARACTER_TABLE_BRANCH_L1ST LDAB ELEMENT INDEX ASLB ABX STZ 0,X PULM K,X clear the CARRY bit to indicate a match was found and return ANDP #0FEFFH RTS ELEMENT_MATCH_NOT_FOUND : PULM K,X ; set the CARRY bit tc indicate no match was found and return ORP #100H RTS ******************************************************************** Code 39 bit patterns the first three bytes in each table entry are the locations of the wide elements in the character, the last byte is the check digit value of the character FORWARD CHARACTER TABLE: .BYTE 1, ■1, ■1, 1, • 1, -1, • 2, .2, .2, ,26 .BYTE 1, 1, ■ 1, ■1, .1, ,2, .2, 1, , 2 , ,16 .BYTE 1, .1, ,1, •1, ,2, -1, ,1, ,2, , 2 , ,23 .BYTE 1, 1, ■1, 1, .2, .1, • 2, ■ 2 , .1, ,29 .BYTE 1, .1, ■1, •1, .2, .2, .1, .1, ,2, ,13 .BYTE 1, .1, .1, ■ i, .2, ,2, ,2, .1, ,1, ,19 . BYTE 1,1,1,2,1,1,2,1,2,7 . BYTE 1,1,1,2,2,1,1,1,2,4 .BYTE 1,1,1,2,1,2,1,2,1,42 . BYTE 1,1,1,2,2,1,2,1,1,0 .BYTE 1,1,2,1,1,1,1,2,2,21 .BYTE 1,1,2,1,1,1,2,2,1,28 .BYTE 1,1,2,1,1,2,1,1,2,11 .BYTE 1,1,2,1,1,2,2,1,1,18 .BYTE 1,1,2,1,2,1,1,2,1,25 .BYTE 1,1,2,1,2,2,1,1,1,15 . BYTE 1,1,2,2,1,1,1,1,2,2 . BYTE 1,1,2,2,1,1,2,1,1,9 . BYTE 1 , 1 , 2 , 2 , 2 , 1 , 1 , 1 , 1 , 6 .BYTE 1,2,1,1,1,1,2,1,2,36 .BYTE 1,2,1,1,1,2,1,2,1,41 .BYTE 1,2,1,1,2,1,1,1,2,33 . BYTE 1,2,1,1,2,1,2,1,1, OEEH .BYTE 1,2,1,2,1,1,1,2,1,40 . BYTE 1,2,1,2,1,2,1,1,1,39 . BYTE 1,2,2,1,1,1,1,1,2,31 .BYTE 1,2,2,1,1,1,2,1,1,38 .BYTE 1,2,2,1,2,1,1,1,1,35 . BYTE 2,1,1,1,1,1,1,2,2,20 .BYTE 2,1,1,1,1,1,2,2,1,27 .BYTE 2,1,1,1,1,2,1,1,2,10 .BYTE 2,1,1,1,1,2,2,1,1,17 .BYTE 2,1,1,1,2,1,1,2,1,24 . BYTE 2,1,1,1,2,2,1,1,1,14 . BYTE 2,1,1,2,1,1,1,1,2,1 . BYTE 2,1,1,2,1,1,2,1,1,8 . BYTE 2,1,1,2,2,1,1,1,1,5 .BYTE 2,1,2.1,1,1,1,2,1,22 .BYTE 2,1,2,1,1,2,1,1,1,12 . BYTE 2,1,2,2,1,1,1,1,1,3 . BYTE 2,2,1,1,1,1,1,1,2,30 . BYTE 2,2,1,1,1,1,2,1,1,37 .BYTE 2,2,1,1,2,1,1,1,1,34 .BYTE 2,2,2,1,1,1,1,1,1,32 REVERSE CHARACTER TABLE: .BYTE 1,1,1,1,1,1,2,2,2,32 . BYTE 1,1,1,1,1,2,2,1,2,3 .BYTE 1,1,1,1,2,1,1,2,2,34 . BYTE 1,1,1,1,2,1,2,2,1,35 . BYTE 1,1,1,1,2,2,1,1,2,5 . BYTE 1,1,1,1,2,2,2,1,1,6 .BYTE 1,1,1,2,1,1,2,1,2,12 . BYTE 1,1,1,2,1,2,1,2,1,39 .BYTE 1,1,1,2,2,1,1,1,2,14 .BYTE 1,1,1,2,2,1,2,1,1,15 .BYTE 1,1,2,1,1,1,1,2,2,37 .BYTE 1,1,2,1,1,1,2,2,1,38 . BYTE 1,1,2,1,1,2,1,1,2,8 . BYTE 1,1,2,1,1,2,2,1,1,9 . BYTE 1,1,2,1,2,1,1,2,1, OEEH . BYTE 1,1,2,1,2,2,1,1,1,0 .BYTE 1,1,2,2,1,1,1,1,2,17 .BYTE 1,1,2,2,1,1,2,1,1,18 .BYTE 1,1,2,2,2,1,1,1,1,19 .BYTE 1,2,1,1,1,1,2,1,2,22 . BYTE 1,2,1,1,1,2,1,2,1,40 .BYTE 1,2,1,1,2,1,1,1,2,24 .BYTE 1,2,1,1,2,1,2,1,1,25 5 .BYTE 1,2,1,2,1,1,1,2,1,41 .BYTE 1,2,1,2,1,2,1,1,1,42 .BYTE 1,2,2,1,1,1,1,1,2,27 .BYTE 1,2,2,1,1,1,2,1,1,28 10 .BYTE 1,2,2,1,2,1,1,1,1,29 . BYTE 2,1,1,1,1,1,1,2,2,30 .BYTE 2,1,1,1,1,1,2,2,1,31 . BYTE 2,1,1,1,1,2,1,1,2,1 15 . BYTE 2,1,1,1,1,2,2,1,1,2 .BYTE 2,1,1,1,2,1,1,2,1,33 . BYTE 2,1,1,1,2,2,1,1,1,4 .BYTE 2,1,1,2,1,1,1,1,2,10 20 .BYTE 2,1,1,2,1,1,2,1,1,11 .BYTE 2,1,1,2,2,1,1,1,1,13 .BYTE 2,1,2,1,1,1,1,2,1,36 . BYTE 2,1,2,1,1,2,1,1,1,7 25 .BYTE 2,1,2,2,1,1,1,1,1,16 . BYTE 2,2,1,1,1,1,1,1,2,20 . BYTE 2,2,1,1,1,1,2,1,1,21 .BYTE 2,2,1,1,2,1,1,1,1,23 30 .BYTE 2,2,2,1,1,1,1,1,1,26 This code is an implementation of an algorithm to generate a histogram and use the strength of the edges to filter the data included in the histogram. *********************************************************************** ****** FUNCTION: InitLabelElementHistogram AUTHOR- Jon Brandt, 12/13/98 DESCRIPTION: This zeros out all of the number of elements and the element width sum for each bucket It also sets the bucket size to 0. INPUTS : hιst_ptr is a pointer to a histogram data structure OUTPUTS : hιst_ptr data is initialized. ************************************************* *** ******************** ***** / void InitLabelElementHistogram ( LABEL_ELEMENT_HISTOGRAM_DATA_TYPE *hιst_ptr ) { hιst_ptr->bucket_sιze = 0; memset ( & (hιst_ptr- >number_elements [0] ) , 0, (NUMBER_OF_BUCKETS * sizeof (hιst_ptr- >number_elements [0] ) ) ) , memset ( & (hιst_ptr->wιdth_sum [0] ) , 0, (NUMBER_OF_BUCKETS * sizeof (hιst_ptr- >wιdth_sum [0] ) ) ) ; } ttlfdef HAS_CAPTURE_EDGE_STRENGTH /*********************************************************************** ****** FUNCTION : RestartLabelElementHistogram AUTHOR Jon Brandt, 12/13/98, modified by R.Turkal DESCRIPTION: This function clears out the histograms and determines the new bucket size. To find the new bucket size divide the maximum element size by 8. The bucket size is stored m each histogram data structure INPUTS : mfo_ptr is a pointer to a label element info data structure. bιggest_element_m_label - Stores the biggest element that has been seen m the label . OUTPUTS : mfojjtr - the label histogram data is cleared an initialized for the new label . ************************************************************************ *****/ void RestartLabelElementHistogram( LABEL_ELEMENTS_INFO_TYPE *info_ptr) { unsigned short min_value; — /* Initialize histogram for new data */ InitLabelElementHistogram ( & (info_ptr->bar_histogram) ) ; InitLabelElementHistogram ( & (info_ptr->space_histogram) ) ; /* To determine the new bucket size, divide the ** biggest element by 8. */ min_value = biggest_element_in_label / 8 ; /* store bucket size in bar and space histogram. */ info_ptr->bar_histogram.bucket_size = min_value,- info_ptr->space_histogram.bucket_size = min_value; } /*********************************************************************** ****** FUNCTION : UpdateLabelElementHistogram AUTHOR: Jon Brandt, 12/13/98, modified by R.Turkal DESCRIPTION: This function uses the information in the label element info structure to add information to the histogram and decode the histogram. First it adds the label element information to the bar and space histograms. Then it finds the peaks in the bar and space histogram and calculates the average element width for each peak. Then the peaks are decoded to determine what peaks are the correct ones for binary and multi-width symbologies. A pointer to the 1st edge strength measurement for each potential label is stored away for use by the histogram updating function. A pointer to the edge strength that corresponds to the 1st bar of a potential label is also stored in the label information structure for later use by the low level assembly language decoders. INPUTS : LABEL_ELEMENTS_INFO_TYPE *infojptr - pointer to element information for the current potential label. OUTPUTS : info_ptr bar and space histograms are updated. info_ptr binary_hist_confidence and multiwidth_hist_confidence are determined. info_ptr binary_bar_widths , binary_space_widths , multiwidth_bar_widths , and multiwidth space widths are determined. ************************************************************************ *****/ void UpdateLabelElementHistogram( LABEL_ELEMENTS_INFO_TYPE *info_ptr) { unsigned short new_label_num_elements; HistLblEndPtr = info_ptr->label_end; /* Update the bar histogram with new elements. ** First set up global variables for subroutine. */ HistLblStartPtr = info_ptr->label_start; HistBucketSize = infoj>tr->bar_histogram.bucket_size; HistNumElementsPtr = info_ptr->bar_histogram.number_elements ; HistWidthSumPtr = info_jptr->bar_histogram. width_sum; /* compute the index from the top of the capture buffer to the leading_qz pointer */ new_label_num_elements = (short) ( (cur_capt_buf - >StartPointer) - HistLblStartPtr) ; /* now compute the edge strength value pointer by using the just computed index */ StrengthPtr = cur_capt_buf->EdgeStrengthBufferPointer - new_label_num_elements ; /* save a pointer to the first stv edge strength for this label */ info_ptr->stv_strength_data_start = StrengthPtr; /* set edgeType = 1 to indicate we're working with stv strengths (bar elements) */ edgeType = 1; /* init the average strength pointer */ averageStrength = & (info_ptr->stv_average_strength) ; UpdateHistogramCntsAndSumO ; /* Determine the peaks and average width for each peak ** of the bar histogram. */ HistPeakNumElementsPtr = HistBarPeakNumElements ; HistPeakAveWidthPtr = HistBarPeakAveWidth; FindHistogramPeaks ( ) ; HistBarNumPeaks = HistNumPeaks ; /* Update the space histogram with new elements. ** First set up global variables for subroutine. */ HistLblStartPtr = info_ptr->label_start + 1; HistBucketSize = info_ptr->space_histogram.bucket_size; HistNumElementsPtr = info_ptr->space_histogram.number_elements; HistWidthSumPtr = info_ptr->space_histogram.width_sum; /* compute the edge strength value pointer */ StrengthPtr = cur_capt_buf->EdgeStrengthBufferPointer - new label num elements + 1 ,- /* set edgeType = 0 to indicate we're working with rtv strengths (space elements) */ edgeType = 0 ; /* mit the average strength pointer */ averageStrength = & (mfo_ptr->rtv_average_strength) ,- UpdateHistogramCntsAndSum ( ) , /* Determine the peaks and average width for each peak ** of the space histogram */ HistPeakNumElementsPtr = HistSpacePeakNumElements , HistPeakAveWidthPtr = HistSpacePeakAveWidth; F dHistogramPeaks () ; HistSpaceNumPeaks = HistNumPeaks; /* Decode the histogram peaks to determine the probable element ** widths for multi-width and binary symbologies ** Determine confidence level of widths for multi-width ** and binary symbologies */ DecodeHistogramPeaks ( info_ptr ) , } **** ****** ** ********* ********* * ********** ******* ******* ** ** *** ********* * * * *** FUNCTION: FmdHistogramPeaks AUTHOR- Jon Brandt, 12/18/98, modified by R.Turkal DESCRIPTION: This function searches the label element histogram for peaks in the number of elements m a bucket A peak is defined as a bucket that has more elements than both of it ' s neighbors . If there are more than 1 bucket in a row with the same number of elements, the buckets are summed and then averaged to produce a peak When a peak is found, the average element width is calculated and stored in an array. The number of elements for the peak is also stored in an array. INPUTS : HistNumElementsPtr = Histogram of the number of elements m a bucket . HistWidthSumPtr = Histogram of the width total for all elements of the bucket OUTPUTS : HistNumPeaks - The number of peaks will be determined HistPeakNumElementsPtr - pointer to an array for the number of elements in each peak. This will be filled m HistPeakAveWidthPtr - pointer to an array for the average width for the peaks This will be filled in ****** * *************** ******** ** *** ******************* *** * ************** ***** void FmdHistogramPeaks (void) { unsigned short last_bkt_num_el ,- unsigned short bkt_num_el ; unsigned long bkt_width; — unsigned char num_repeat_peaks ; unsigned char peak_index; unsigned char bucket_num; signed char i; BOOLEAN ascending; last_bkt_num_el = 0; HistNumPeaks = 0 ,- ascending = TRUE; num_repeat_j?eaks = 0 ; /* Go through all the buckets of the histogram. */ for (bucket_num = 0; bucket_num < (NUMBER_OF_BUCKETS - 1) ; bucket_num++) { /* Calculate the 2 bucket sum of the number of elements. */ bkt_num_el = HistNumElementsPtr [bucket_num] ; /* If the new two bucket sum is greater than the previous ** we are ascending. * if ( bkt_num_el > last_bkt_num_el ) { ascending = TRUE; last_bkt_num_el = bkt_num_el; num_repeat_peaks = 0 ,- } /* If this two bucket sum and the previous are the same, ** we are on a plateau and need to record the number of ** repeats. */ else if ( bkt_num_el == last_bkt_num_el ) { num_repeat_peaks++ ; } /* If the new two bucket sum is less than the previous ** we are descending. */ else if ( bkt_num_el < las _bkt_num_el ) { last_bkt_num_el = bkt_num_el; /* If we were previously ascending, store the ** peak we just passed. */ if ( ascending == TRUE ) { /* Determine the middle of the peak if it ** has a plateau. bkt_num_el = 0 ; bkt_width = 0; i = num_repeat_peaks ; while (i >= 0) { peak_index = (unsigned char) (bucket num i) bkt_num_el += HistNumElementsPtr [peak_index] ,- bkt_width += HistWidthSumPtr [peak_index] ; i-- ; /* Determine the two bucket sum of the number of elements ** from the middle of the peak. Then store it in the ** peak store. */ HistPeakNumElementsPtr [HistNumPeaks] = bkt_num_el; /* Determine the two bucket sum of the elements width ** sum from the middle of the peak. Then store it ** in the peak store. */ bkt_width /= bkt_num_el; HistPeakAveWidthPtr [HistNumPeaks] = (unsigned short) bkt_width,- HistNumPeaks++; } else { /* Already descending so don't do anything. */ } ascending = FALSE; num_repeat_peaks = 0 ,- } /* If now descending */ } /* loop through buckets */ /* If the histogram ending ascending, store the last ** two bucket sum as a peak. */ if ( (ascending == TRUE) && (last__bkt_num_el > 0) ) { /* Determine the middle of the peak if it ** has a plateau. */ if (num_repeat_peaks > 0) { /* Determine the middle of the peak if it ** has a plateau. */ bkt_num_el = 0; bkt_width = 0; i = num_repeat_peaks ,- while (i >= 0) { peak_index = (unsigned char) (bucket_num - 1 - i) ; bkt_num__el += HistNumElementsPtr [peak_index] ; bkt_width += HistWidthSumPtr [peak_index] ; i-; } } else { bkt_num_el = HistNumElementsPtr [bucket_num - 1] ; bkt_width = HistWidthSumPtr [bucket_num - 1]; } /* Determine the two bucket sum of the number of elements ** from the middle of the peak. Then store it in the ** peak store. */ HistPeakNumElementsPtr [HistNumPeaks] = bkt_num_el; /* Determine the two bucket sum of the elements width ** sum from the middle of the peak. Then store it ** in the peak store. */ bkt_width /= bkt_num_el ; HistPeakAveWidthPtr [HistNumPeaks] = (unsigned short) bkt_width; HistNumPeaks++ ; } /* Check for last peak */ } /* End of function */ *********************************************************************** ****** FUNCTION : DetermmeHistWidthsConfidence AUTHOR : R . Turkal DESCRIPTION: This function determines the confidence level of the binary and multiwidth average element widths. It just verifies that no width is set to zero. ************************************************************************ ***** void DetermmeHistWidthsConfidence ( LABEL_ELEMENTS_INFO_TYPE *info_jptr) { /* Check if element widths are loaded for multiwidth and binary. */ if (HistBinaryBarWidthsLoaded == TRUE) { if ( info_ptr->binary_bar_widths [0] == 0 || info_ptr->binary_bar_widths [1] == 0 || info_ptr->binary_space_widths [0] == 0 || info_ptr->binary_space_widths [1] == 0 ) { info_ptr->binary_hist_confidence = HIST_CONFIDENCE__HIGH_NEGATIVE; } if (HistMultiwidthBarWidthsLoaded == TRUE) { if ( info_ptr- >multiwidth_bar_widths [0] == 0 | | info_jptr- >multiwidth_bar_widths [1] == 0 I I info_ptr- >multiwidth_space_widths [0] == 0 I I info_ptr- >multiwidth_space_widths [1] == 0 ) { info_ptr- >multiwidth_hist_confidence = HIST_CONFIDENCE_HIGH_NEGATIVE ; } *********************************************************************** ****** FUNCTION: DecodeHistogramPeaks AUTHOR: Jon Brandt, 12/19/98, modified by R. Turkal DESCRIPTION: This function finds multiwidth and binary element widths using the peaks for this histogram. The confidence level for the element widths are also determined. ********* * ************************************************************** ***** void DecodeHistogramPeaks ( LABEL_ELEMENTS_INFO_TYPE *info_ptr ) { /* Find binary element widths. */ HistBarElementWidthsPtr = info_ptr->binary_bar_widths ,- HistSpaceElementWidthsPtr = info_ptr->binary_space_widths; HistBinaryBarWidthsLoaded = HistBinarySpaceWidthsLoaded = FindBinaryElementWidths () ; /* Find multi-width element widths. HistBarElementWidthsPtr = infojptr->multiwidth_bar_widths; HistSpaceElementWidthsPtr = info_ptr->multiwidth_space_widths ; HistMultiwidthBarWidthsLoaded = HistMultiwidthSpaceWidthsLoaded = FindMultiWidthElementWidths () ; DetermmeHistWidthsConfidence (info_ptr) ; } #endif /*********************************************************************** ****** FUNCTION: FindBinaryElementWidths AUTHOR: Jon Brandt, 12/19/98 DESCRIPTION: This function goes through the list of peaks and determines which 2 peaks support the widths for a binary symbology. This function allows a wide:narrow range from 1.5:1 to 5:1. The space peak with the most elements will be tried as a narrow element first. Then a wide space with the most elements will be found with a wide: narrow range of 2:1 to 4:1. If that doesn't work, a range of 1.5:1 to 5 : 1 will be used. If not wide space is found, the element with the second most elements will be tried as a narrow element and the other checks are made. Once the spaces are identified, bars of similar widths are searched for. All combinations of narrow:wide are tried. If a combination has more elements than any previous combinations, the new combination is tested for the valid wide:narrow range. The combination that has valid wide:narrow ratio and has the most elements is the winner of the search. PSEUDOCODE INPUTS : HistPeakNumElementsPtr - Number of elements for histogram peaks HistPeakAveWidthPtr - Average widths for histogram peaks HistNumPeaks - Number of peaks OUTPUTS : HistElementWidthsPtr - Binary Element width array that will be filled in. BOOLEAN TRUE - Binary element widths were found and loaded. BOOLEAN FALSE - Binary element widths were not found. ************************************************************************ *****/ BOOLEAN FindBinaryElementWidths ( void ) { unsigned short max_narrow_space_num_elements ; unsigned char max_narrow_space_peak_num; unsigned short max_narrow_space_width; unsigned short max_wide_space_num_elements; unsigned short max_wide_space_width; unsigned short wide_space_width; unsigned short space_wide_narrow_delta; unsigned short max_narrow_bar_num_elements ,- unsigned char max_narrow_bar_peak_num,- unsigned short max_narrow_bar_width; unsigned short narrow_bar_width; unsigned short max_wide_bar_num_elements; unsigned short max_wide_bar_width; unsigned short wide_bar_width; unsigned char narrow_peak_num,- unsigned char wide_peak_num,- unsigned short m n_wιdth; unsigned short max_wιdth; BOOLEAN found_wιdths ; max_narrow_space_num_elements = 0 ,- found_wιdths = FALSE; /* Find the peak with the most number of elements. This will be the — ** narrow width. */ for ( narrow__peak_num = 0; narrow__peak_num < (HistSpaceNumPeaks - 1) ; narrow_peak_num++ ) { if ( HistSpacePeakNumElements [narrow_peak_num] > max_narrow_space_num_elements ) { max_narrow_space_num_elements = HistSpacePeakNumElements [narrow_peak_num] ,- max_narrow_space_peak num = narrow_peak_num; } } max narrow_space_wιdth = HistSpacePeakAveWidth [max_narrow__space_peak_num] ; /* Now try to find the biggest wide space with a wide narrow ratio ** the range of 4:1 to 2:1 */ mιn_w dth = max_narrow_space_wιdth * 2 ,- max_wιdth = max_narrow_space_wιdth * 4 ; max_wιde_space_num_elements = 0, for ( wιde_peak_num = (unsigned char) (max_narrow_space_peak_num+l) ; wide_peak_num < HistSpaceNumPeaks; wιde_peak_num++ ) { wιde_space_width = HistSpacePeakAveWidth [wιde_peak_num] ; if ( (HistSpacePeakNumElements [wιde_peak_num] > max_wιde_space_num_elements) && (wide_space_wιdth >= mm_wιdth) && (wide_space_width <= max_wιdth) ) { max_wide_space_num_elements = HistSpacePeakNumElements [wιde_peak_num] ; max wide space width = wide space width; } - " - } /* If a wide element was not found, try to find the biggest wide space ** with a more generous wide:narrow ratio. Now use the range of 5:1 to 1.5:1. */ if ( max_wide_space_num_elements == 0 ) { mm_width = (3*max_narrow_space_wιdth) /2 ; max_width = max_narrow_space_wιdth * 5 ; max_w de_space_num_elements = 0 ; for ( wide_peak_num = (unsigned char) (max_narrow_space_peak_num+l) ,- wide_peak_num < HistSpaceNumPeaks; wide_peak_num++ ) { wide_space_width = HistSpacePeakAveWidth [wide_peak num] ,- if ( (HistSpacePeakNumElements [wide_peak_num] > max_wide_space_num_elements) && (wide_space_width >= min_width) && (wide_space_width <= max_width) ) { max_wide_space_num_elements = HistSpacePeakNumElements [wide_peak_num] ; max_wide_space_width = wide_space_width; } } } /* Determine the distance between the wide and narrow space width. */ space_wide__narrow_delta = max_wide_space_width - max_narrow_space_width; ******************************************************** ***********LOOKING FOR BARS***************************** */ /* Make sure a space elements has been found. */ if ( max_wide_space_num_elements != 0 ) { /* Look for bars with a similar set of element widths. */ /* Find the bar peak with the most number of elements and within ** the space width +- 0.5*space width. */ min_width = max_narrow_space_width/2 ,- max_width = (3*max_narrow_space_width) /2 ,- max_narrow_bar_num_elements = 0; max_narrow_bar_peak_num = 0 ,- for ( narrow_peak_num = 0; narrow_peak_num < (HistBarNumPeaks - 1) ; narrow_peak num++ ) { narrow_bar_width = HistBarPeakAveWidth [narrow_peak num] ; if ( (HistBarPeakNumElements [narrow_peak_num] > max_narrow_bar_num_elements) && (narrow_bar_width >= min_width) && (narrow_bar_width <= max_width) ) { max_narrow_bar_num_elements = HistBarPeakNumElements [narrow_peak_num] ,- max_narrow_bar_peak_num = narrow_peak num; } /* If a narrow bar was found, continue */ if ( max_narrow_bar_num elements 1= 0 ) { found_widths = TRUE; max_narrow_bar_width = HistBarPeakAveWidth [max_narrow_bar_peak num] ; /* Look for a wide bar that fits the separation of the narrow and wide space. */ min_width = max_narrow_bar_width + (space_wide_narrow_delta/2) ; max_width = max_narrow_bar_width + ( (3*space_wide_narrow_delta) /2) ; max_wide_bar_num_elements = 0 ; for ( wide_peak_num = (unsigned char) (max_narrow__bar_peak_num+l) ,- wide_peak_num < HistBarNumPeaks; wide_peak_num++ ) { wide_bar_width = HistBarPeakAveWidth [wide_peak_num] ,- if ( (HistBarPeakNumElements [wide_peak_num] > max_wide_bar_num_e1ements) && (wide_bar_width >= min_width) && (wide_bar_width <= max_width) ) { max_wide_bar_num_elements = HistBarPeakNumElements [wide_peak_num] ; max_wide_bar_width = wide_bar_width; } } if ( max_wide_bar_num_elements == 0 ) { max_wide_bar_width = max_narrow_bar_width + space_wide_narrow_delta; } } } /* If valid widths were found, store them in the array. */ if ( found_widths == TRUE ) { HistSpaceElementWidthsPtr [0] = max_narrow_space_width; HistSpaceElementWidthsPtr [1] = max_wide_space_width; HistBarElementWidthsPtr [0] = max__narrow_bar_width; HistBarElementWidthsPtr [1] = max_wide_bar_width; } return found widths ; } /*********************************************************************** ****** FUNCTION : FindMultiWidthElementWidths AUTHOR: Jon Brandt, 12/20/98 DESCRIPTION: This function goes through the list of peaks and determines which 3 peaks support the widths for a multi-width symbology. It is not required to find the fourth width in the peak information. If it is found, it will be used. If it is not found, a fourth width will be calculated for the output array. Width 1 and 3 are compared to width 2 to determine their validity. The following ranges are acceptable for widths 1 and 3 : minimum width 1 = 0.5*width2 - l/8*width2 maximum width 1 = 0.5*width2 + l/8*width2 minimum width 3 = 1.5*width2 - l/4*width2 maximum width 3 = 1.5*width2 + l/4*width2 " ~ The following ranges are used to look for width 4 once the best widths for 1, 2, and 3 are determined: minimum width 4 = width3 + 0.5*width2 - l/4*width2 maximum width 4 = width3 + 0.5*width2 + 3/8*width2 If width 4 is not found, it is calculated with the following formula : width 4 = width3 + 0.5*width2 All combinations of widthl :width2 : width3 are tried. If a combination has more elements than any previous combinations, the new combination is tested for the valid widthl :width2 :width3 range. The combination that is in the range and has the most elements is the winner of the search. PSEUDOCODE INPUTS : HistPeakNumElementsPtr - Number of elements for histogram peaks HistPeakAveWidthPtr - Average widths for histogram peaks HistNumPeaks - Number of peaks OUTPUTS : HistElementWidthsPtr - Binary Element width array that will be filled in. BOOLEAN TRUE - Binary element widths were found and loaded. BOOLEAN FALSE - Binary element widths were not found. ************************************************************************ *****/ BOOLEAN FindMultiWidthΞlementWidths ( void ) { unsigned short max_widthl_space_num_elements; unsigned char max_widthl_space_peak_num; unsigned short max_widthl_space_width; unsigned short max_width2_space_num_elements; unsigned char max_width2_space_peak_num; unsigned short max_width2_space_width; unsigned short max_width3_space_num_elements ; unsigned char max_width3_space_peak_num; unsigned short max_width3_space_width; unsigned short max_width4_space_num elements; unsigned short max_width4_space_width; unsigned short space_width3_widthl_delta; unsigned short space_ratio3_l_delta; unsigned short max_widthl_bar_num_elements; unsigned char max_widthl_bar_peak_num; unsigned short max_widthl_bar_width; — unsigned short max_width2_bar_num_elements; unsigned char max_width2_bar_peak_num; unsigned short max_width2_bar_width; unsigned short max_width3_bar_num_elements; unsigned char max_width3_bar_peak_num,- unsigned short max_width3_bar_width; unsigned short max_width4_bar_num__elements; unsigned short max_width4_bar_width; unsigned short bar_width3_widthl__delta; unsigned short bar_ratio3_l_delta; unsigned short space_bar_width3_wιdthl__delta; unsigned short best_quality_level ; unsigned short new_quality_level ; unsigned short best_space_width3_peak_num; unsigned short best_bar_width3_peak_num; unsigned char widthl_peak_num unsigned char width2_peak_num unsigned char width3_peak_num unsigned char width4_peak_num unsigned short min_width; unsigned short max_width; unsigned short element_width; unsigned short temp_store; BOOLEAN found_widths ; max_widthl_space_num_elements = 0 ,- found_widths = FALSE; best_quality_level = OxFFFF; /* Loop through all possible widthl peaks. */ for ( max_widthl_space_peak_num = 0 ; max_widthl_space_peak_num < (HistSpaceNumPeaks - 2) ; max_widthl_space_peak_num++ ) { /* store data for widthl space */ max_widthl_space_num_elements = HistSpacePeakNumElements [max_widthl_space_peak_num] ; max_widthl_space_width = HistSpacePeakAveWidth [max_widthl_space_peak_num] ; /* Now try to find the biggest width2 space with a width2 :widthl ratio in ** the range of 1.5:1 to 2.5:1. */ min_width = (3*max_widthl_space_width) /2 ; max_width = min_width + max_widthl_space_width; max_width2_space_num_elements = 0 ,- for ( width2_peak_num = (unsigned char) (max_widthl_space_peak_num+l) ; width2_peak_num < (HistSpaceNumPeaks - 1) ,- width2_peak_num++ ) { element_width = HistSpacePeakAveWidth [width2_peak_num] ,- if ( (HistSpacePeakNumElements [width2_peak_num] > max_width2_space_num_elements) && (element_width >= min_width) && (element_width <= max_width) ) { max_width2_space_num_elements = HistSpacePeakNumElements [width2_peak_num] ,- max_width2_space_width = element_width; max_width2_space_peak__num = width2_peak_num; } /* If a width2 space was found, try to find the biggest width3 space . ** Use a width3 : idthl ratio range of 2.5 to 3.5 */ if ( max_width2_space_num_elements != 0 ) { min_width = max_width2_space_width + (max_widthl_space_width/2) ,- max_width = min_width + max_widthl_space_width; max_width3_space_num_elements = 0 ,- for ( width3_peak_num = (unsigned char) (max_width2_space_peak_num+l) ; width3_peak num < HistSpaceNumPeaks; width3_peak_num++ ) { element_width = HistSpacePeakAveWidth [width3_peak_num] ; if ( (HistSpacePeakNumElements [width3_peak_num] > max_width3_space_num_elements) && (element_width >= min_width) && (element_width <= max_width) ) { max_width3_space_num_elements = HistSpacePeakNumElements [width3_peak_num] ; max_width3_space_width = element_width; max_width3_space_peak_num = width3_peak_num; } } /* If a width3 space was found, try to find the biggest widthl bar. ** Use a width range of 0.5 space_widthl to 1.5 space_widthl . */ if ( max_width3_space_num_elements != 0 ) { min_width = max_widthl_space_width/2 ; max_width = min_width + max_widthl_space_width; max_widthl_bar_num_elements = 0; for ( widthl_peak_num = 0 ,- widthl_peak num < (HistBarNumPeaks - 2); widthl_peak_num++ ) { element_width = HistBarPeakAveWidth [widthl_peak_num] ,- "~ if ( (HistBarPeakNumElements [widthl_peak num] > max_widthl_bar_num_elements) && (element_width >= min_width) && (element_width <= max_width) ) { max_widthl_bar_num_elements = HistBarPeakNumElements [widthl_peak_num] ; max_widthl_bar_width = element_width; max_widthl_bar_peak num = widthl_peak_num; } /* If a widthl bar was found, try to find the biggest width2 bar . ** Use a width2 :widthl range of 1.5 to 2.5. */ if ( max_widthl_bar_num_elements != 0 ) { min_width = (3*max_widthl_bar_width) /2 ; max_width = min_width + max_widthl_bar_width; max_width2__bar__num_elements = 0; for ( width2_peak_num = (unsigned char) (max_widthl__bar_peak_num+l) ; width2_peak_num < (HistBarNumPeaks - 1) ; width2_peak__num++ ) { element_width = HistBarPeakAveWidth [width2_peak_num] ,- if ( (HistBarPeakNumElements [width2_peak num] > max_width2_bar_num_elements ) && (element_width >= min_width) && (element_width <= max_width) ) { max_width2_bar_num_elements = HistBarPeakNumElements [width2_peak_num] ; max_width2_bar_width = element_width; max width2 bar_peak_num = width2__peak num; /* If a width2 bar was found, try to find the biggest width3 bar. ** Use a width3 : widthl range of 2.5 to 3.5. */ if ( max width2 bar num elements != 0 ) min_width = max_width2_bar_width + max_widthl_bar_width/2 ,- max_width = min_width + max_widthl_bar_width; max width3 bar num elements = 0 ; for ( width3_peak_num = (unsigned char) (max_width2_bar_peak_num+l) ; width3_peak_num < HistBarNumPeaks; width3_peak_num++ ) { element_width = HistBarPeakAveWidth [width3_peak_num] ; if ( (HistBarPeakNumElements [width3_peak_num] > max_width3_bar_num_elements) && (element__width >= min_width) && (element_width <= max_width) ) { max_width3_bar_num_elements = HistBarPeakNumElements [width3_peak_num] ; max_width3_bar_width = element__width; max_width3_bar_peak_num = width3_peak_num; } } /* If a width3 bar was found, try to find a width4 space and bar. */ if ( max_width3_bar_num_elements != 0 ) { found widths = TRUE; /* Determine if this is a better set of widths than previous widths.*/ /* Determine measurements of space quality */ space_width3_widthl_delta = max_width3_space_width - max_widthl_space__width; temp_store = max_width3_space_width/max_widthl_space__width; if ( temp_store == 2 ) { space_ratio3_l_delta = max_widthl_space_width - (max_width3_space_width%max_widthl_space_width) ; } else if ( temp_store == 3 ) { space_ratio3_l_delta = max_width3_space_width%max_widthl_space_width; } else { space_ratio3_l_delta = max_widthl_space_width; } /* Determine measurements of bar quality */ bar_width3_widthl_delta = max_width3_bar_width - max_widthl_bar_width; temp_store = max_width3_bar_width/max_widthl_bar_width; if ( temp_store == 2 ) { bar_ratio3_l_delta = max_widthl_bar_width - (max_width3_bar_width%max_widthl_bar_width) ; } else if ( temp_store == 3 ) { bar_ratio3_l_delta = max_width3_bar_width%max_widthl_bar_width; } else { bar_ratio3_l_delta = max_widthl_bar_width; } /* calculate total new quality */ if ( bar width3 widthl delta < space_width3_widthl_delta ) { space_bar_width3_widthl_delta = space_width3_widthl_delta - bar_width3_widthl_delta; } else { space_bar_width3_widthl_delta = bar_width3_widthl_delta - space_bar_width3_widthl_delta; } new_quality_level = (2 * space_bar_width3_widthl_delta) + bar_ratio3_l_delta + space_ratio3_l_delta; /* If this width set has better quality, save the widths ** and other information to find the 4th width. */ if ( new_quality_level < best_quality_level { best_quality_level = new_quality_level ; HistSpaceElementWidthsPtr [0] = max_widthl_space_width,- HistSpaceElementWidthsPtr [1] = max_width2_space_width; HistSpaceElementWidthsPtr [2] = max_width3_space_width,- HistBarElementWidthsPtr [0] = max_widthl_bar_width,- HistBarElementWidthsPtr [1] = max_width2_bar_width,- HistBarElementWidthsPtr [2] = max_width3_bar_width; best_bar_width3_peak_num = max_width3_bar_peak_num; best_space_wιdth3_peak_num = max_width3_space_peak num; } } } } } } } /* If valid widths were found, look for width 4. */ if ( found_widths == TRUE ) { /* Try to find width4 space. */ min_width = HistSpaceElementWidthsPtr [2] + (HistSpaceElementWidthsPtr [0] /2) ; max_width = HistSpaceElementWidthsPtr [2] + ( (3*HistSpaceElementWidthsPtr [0] )/2) ; max_width4_space_num_elements = 0 ; for ( width4__peak_num = (unsigned char) (best_space_width3_peak_num+l) ; width4_peak_num < HistSpaceNumPeaks; width4_peak_num++ ) { element_width = HistSpacePeakAveWidth [width4_peak_num] ; if ( (HistSpacePeakNumElements [width4_peak_num] > max_width4_space_num_elements) && (element_width >= min_width) && (element_width <= max_width) ) { max_width4_space_num_elements = HistSpacePeakNumElements [width4_peak_num] ; max_width4_space_width = element_width; } } /* Calculate width4 space if it can't be found. */ if ( max_width4_space_num_elements == 0 ) { HistSpaceElementWidthsPtr [3] = HistSpaceElementWidthsPtr [2] + HistSpaceElementWidthsPtr [0] ; } else { HistSpaceElementWidthsPtr [3] = max_width4_space_width; } /* Try to find width4 bar. */ min_width = HistBarElementWidthsPtr [2] + (HistBarElementWidthsPtr [0] /2) ; max_width = HistBarElementWidthsPtr [2] + ( (3*HistBarElementWidthsPtr [0] ) /2) ; max width4 bar num elements = 0 ; for ( width4_peak_num = (unsigned char) (best_bar_width3_peak_num+l) ; width4_peak__num < HistBarNumPeaks; width4_peak_num++ ) { element_wιdth = HistBarPeakAveWidth [wιdth4_peak_num] , if ( (HistBarPeakNumElements [wιdth4_peak_num] > max_w dth4_bar_num_elements ) && (element_wιdth >= mm_wιdth) && (element_wιdth <= max_wιdth) ) { max_wιdth4_bar_num_elements = — HistBarPeakNumElements [wιdth4_peak_num] , max_wιdth4_bar_wιdth = element_wιdth; } } /* Calculate wιdth4 space if it can't be found. */ if ( max_wιdth4_bar_num_elements == 0 ) { HistBarElementWidthsPtr [3] = HistBarElementWidthsPtr [2] + HistBarElementWidthsPtr [0] ; } else { HistBarElementWidthsPtr [3] = max_wιdth4_bar_wιdth, } } return found widths, #ιfndef HAS_CAPTURE_EDGE_STRENGTH /***** * *** *********** *** * ***** * ****** ******** ** **** ****** ************** * ****** FUNCTION: DecodeHistogramPeaks AUTHOR: Jon Brandt, 12/19/98, modified by R Turkal DESCRIPTION This function finds multiwidth and binary element widths using the peaks for this histogram The confidence level for the element widths are also determined. PSEUDOCODE Load global variables for bars. Find binary element widths for bars Find multi-width element widths for bars. Load global variables for spaces . Find binary element widths for spaces Find multi-width element widths for spaces Calculate bar-space-b ary-width-delta to make sure binary bars and spaces agree distance between narrow and wide elements Calculate bar-space-multi-width-delta to make sure multi-width bars and spaces agree in distance between widthl and wιdth3 elements INPUTS HistBarPeakNumElements - Number of elements for bar histogram peaks HistBarPeakAveWidth - Average widths for bar histogram peaks HistBarNumPeaks - Number of bar peaks HistSpacePeakNumElements - Number of elements for space histogram peaks HistSpacePeakAveWidth - Average widths for space histogram peaks HistSpaceNumPeaks - Number of space peaks LABEL_ELEMENTS_INFO_TYPE *info_ptr - pointer to element information for the current potential label. Some info will be filled in. OUTPUTS : Some label element information structure members will be updated. LABEL_ELEMENTS_INFO_TYPE *info_ptr binary_hist_confidence - histogram confidence for binary symbologies multiwidth_hist_confidence - hisogram confidence for multiwidth symbologies binary_bar_widths - bar widths for binary symbologies binary_space_widths - space widths for binary symbologies multiwidth_bar_widths - bar widths for multiwidth symbologies multiwidth_space_widths - space widths for multiwidth symbologies ****************************************** * ************************ * **** ***** / void DecodeHistogramPeaks ( LABEL_ELEMENTS_INFO__TYPE *info_ptr ) { unsigned short bar_width_delta; unsigned short space_width_delta ; unsigned short binary_bar_space_width_delta; unsigned short multiwidth_bar_space_width_delta; /* Find binary element widths. */ HistBarElementWidthsPtr = info_ptr->binary_bar_widths; HistSpaceElementWidthsPtr = info_ptr->binary_space_widths ; HistBinaryBarWidthsLoaded = HistBinarySpaceWidthsLoaded = FindBinaryElementWidths () ; /* Find multi-width element widths. */ HistBarElementWidthsPtr = infoj>tr->multiwidth_bar_widths; HistSpaceElementWidthsPtr = info_ptr->multiwidth_space_widths; HistMultiwidthBarWidthsLoaded = HistMultiwidthSpaceWidthsLoaded = FindMultiWidthElementWidths () ; /* Calculate bar-space-binary-width-delta to ** make sure binary bars and spaces agree in distance ** between narrow and wide elements. ** First make sure there are binary bar widths and space widths. */ if ( (HistBinaryBarWidthsLoaded == TRUE) && (HistBinarySpaceWidthsLoaded == TRUE) ) { /* There are bar and space widths. ** Calculate distance between wide and narrow elements. */ bar_width_delta = info_ptr->binary_bar_widths [1] - info_ptr->binary_bar_widths [0] ; space_width_delta = info__ptr- >binary_space_widths [1] - info_ptr->binary_space_widths [0] ; /* Calculate difference between bars and spaces in ** wide-narrow distance. */ if ( bar_width_delta < space_width_delta ) { binary_bar_space_width_delta = space_width_delta - bar_width_delta; bar_width_delta = bar_width_delta / 2; } else { binary_bar_space_width_delta = bar_width_delta - space_width_delta ; bar_width_delta = space_width_delta / 2; } /* If the difference between bars and spaces in ** wide-narrow distance is greater than 50% of the smallest, ** throw out these results because the bars and space widths ** don't go together. */ if ( binary_bar_space_width_delta > bar_width_delta ) { HistBinaryBarWidthsLoaded = FALSE; HistBinarySpaceWidthsLoaded = FALSE; binary_bar_space_width_delta = OxFFFF; } } else /* We don't have widths for bars and spaces. */ { /* Invalidate both bars and space widths since we ** don't have both of them. */ HistBinaryBarWidthsLoaded = FALSE; HistBinarySpaceWidthsLoaded = FALSE; binary_bar_space_width_delta = OxFFFF; } /* Calculate bar-space-multiwidth-width-delta to ** make sure multiwidth bars and spaces agree in distance ** between widthl and width3. ** First make sure there are multiwidth bar widths and space widths. */ if ( (HistMultiwidthBarWidthsLoaded == TRUE) && (HistMultiwidthSpaceWidthsLoaded == TRUE) ) { /* There are bar and space widths. ** Calculate distance between width3 and widthl elements. */ bar_width_delta = info_ptr->multiwidth_bar_widths [2] - info_ptr->multiwidth_bar_widths [0] ; space_width_delta = info_ptr->multiwidth_space_widths [2] - info_ptr->binary_space_widths [0] ,- /* Calculate difference between bars and spaces in ** width3 -widthl distance. */ if ( bar_wιdth_delta < space_wιdth_delta ) { multιwιdth_bar_space_wιdth_delta = space_wιdth_delta - bar_wιdth_delta, bar_wιdth_delta = bar_w dth_delta / 2; } else — { multιwιdth_bar_space_wιdth_delta = bar_wιdth_delta - space_wιdth_delta , bar_wιdth_delta = space_wιdth_delta / 2; } /* If the difference between bars and spaces in ** w dth3-widthl distance s greater than 50% of the smallest, ** throw out these results because the bars and space widths ** don't go together */ if ( multιwιdth_bar_space_wιdth_delta > bar_wιdth_delta ) { HistMultiwidthBarWidthsLoaded = FALSE; HistMultiwidthSpaceWidthsLoaded = FALSE, multιw dth_bar_space_wιdth_del a = OxFFFF; } } else /* We don't have widths for bars and spaces. */ { /* Invalidate both bars and space widths since we ** don't have both of them. */ HistMultiwidthBarWidthsLoaded = FALSE, HistMultiwidthSpaceWidthsLoaded = FALSE, multιwιdth_bar_space_wιdth_delta = OxFFFF, } /* Determine confidence level of binary and multi-width ** element widths. */ DetermmeHistWidthsConf idence ( mfo_ptr, bmary_bar_space_wιdth_delta , multιwιdth_bar_space_wιdth_delta ) ,- } ********************** * ************************* ********************** * ***** * FUNCTION . RestartLabelElementHistogram AUTHOR. Jon Brandt, 12/13/98 DESCRIPTION- This function clears out the histograms and determines the new bucket size. To find the new bucket s ze divide the maximum element size by 16 , The bucket size is stored in each histogram data structure INPUTS • mfo_ptr is a pointer to a label element info data structure biggest_element_in_label - Stores the biggest element that has been seen in the label. OUTPUTS : info_ptr - the label histogram data is cleared an initialized for the new label . ************************************************************************ ***** / void RestartLabelElementHistogramt LABEL_ELEMENTS_INFO_TYPE *info_ptr) { unsigned short min_value ; /* Initialize histogram for new data */ InitLabelElementHistogram ( & (info_ptr- >bar_histogram) ) ; InitLabelElementHistogram ( & (info_ptr- >space_histogram) ) ; /* To determine the new bucket size , divide the ** biggest element by 16. */ min_value = biggest_element_in_label/l6 ; /* store bucket size in bar and space histogram. */ info_ptr->bar_histogram.bucket_size = mm_value; info_ptr->space_histogram.bucket_size = min_value; } / *********************************************************************** ****** FUNCTION : UpdateLabelElementHistogram AUTHOR: Jon Brandt, 12/13/98 DESCRIPTION: This function uses the information in the label element info structure to add information to the histogram and decode the histogram. First it adds the label element information to the bar and space histograms . Then it finds the peaks in the bar and space histogram and calculates the average element width for each peak. Then the peaks are decoded to determine what peaks are the correct ones for binary and multi-width symbologies. During the decoding of the peaks, the confidence level of the widths for binary and multi-width are determined. INPUTS : LABEL_ELEMENTS_INFO_TYPE *info_ptr - pointer to element information for the current potential label . OUTPUTS : info_ptr bar and space histograms are updated. info_ptr binary_hist_confidence and multiwidth_hist_confidence are determined. info_ptr binary_bar_widths , binary_space_widths , multiwidth_bar_widths , and multiwidth_space_widths are determined. ************************************************************************ *****/ void UpdateLabelElementHistogram( LABEL_ELEMENTS_INFO_TYPE *info_ptr) { HistLblEndPtr = info_ptr->label_end; /* Update the bar histogram with new elements. ** First set up global variables for subroutine. */ HistLblStartPtr = info_ptr->label_start ; HistBucketSize = info_ptr->bar_histogram.bucket_size; HistNumElementsPtr = info_ptr->bar_histogram.number_elements; HistWidthSumPtr = info_ptr->bar_histogram. width_sum; UpdateHistogramCntsAndSumO ; /* Determine the peaks and average width for each peak ** of the bar histogram. */ HistPeakNumElementsPtr = HistBarPeakNumElements; HistPeakAveWidthPtr = HistBarPeakAveWidth; FmdHistogramPeaks ( ) ,- HistBarNumPeaks = HistNumPeaks ; /* Update the space histogram with new elements. ** First set up global variables for subroutine. */ HistLblStartPtr = info_ptr->label_start + 1 ,- HistBucketSize = info_ptr->space_histogram.bucket_size; HistNumElementsPtr = info_jptr->space_histogram. number_elements ,- HistWidthSumPtr = info_ptr->space_histogram. width_sum,- UpdateHistogramCntsAndSumO ; /* Determine the peaks and average width for each peak ** of the space histogram. */ HistPeakNumElementsPtr = HistSpacePeakNumElements; HistPeakAveWidthPtr = HistSpacePeakAveWidth; FmdHistogramPeaks () ,- HistSpaceNumPeaks = HistNumPeaks; /* Decode the histogram peaks to determine the probable element ** widths for multi-width and binary symbologies. ** Determine confidence level of widths for multi-width ** and binary symbologies. */ DecodeHistogramPeaks ( info_ptr ) ; } /*********************************************************************** ****** FUNCTION: FmdHistogramPeaks AUTHOR: Jon Brandt, 12/18/98, modified by R.Turkal DESCRIPTION: This function searches the label element histogram for peaks in the number of elements in a bucket . 2 bucket sums of the number of elements is calculated for each bucket . A 2 bucket sum is the total of a bucket and the previous bucket . Then the 2 bucket sum is used to find a peak. A peak is defined as a 2 bucket sum that has more elements than both of it's neighbors . If there are more than 1 bucket in a row with the same 2 bucket sum, the middle bucket is chosen. When a peak is found, the average element width is calculated and stored in an array. The 2 bucket sume for the peak is also stored in an array. INPUTS : HistNumElementsPtr = Histogram of the number of elements in a bucket . HistWidthSumPtr = Histogram of the width total for all elements of the bucket . OUTPUTS : HistNumPeaks - The number of peaks will be determined. HistPeakNumElementsPtr - pointer to an array of the 2 bucket sum for the peaks. This will be filled in. HistPeakAveWidthPtr - pointer to an array of the average width for the peaks. This will be filled in. ************************************************************************ ***** void FmdHistogramPeaks (void) { unsigned short last_two_bkt_num_el ; unsigned short two_bkt_num_el; unsigned long two_bkt_width; unsigned char num_repeat__peaks ; unsigned char peak_index; unsigned char bucket num; BOOLEAN ascending; last_two_bkt_num_el = 0 ; HistNumPeaks = 0 ,- ascending = TRUE; num_repeat_peaks = 0 ,- /* Go through all the buckets of the histogram. */ for (bucket_num = 0; bucket_num < (NUMBER_OF_BUCKETS - 1) ; bucket_num++) { /* Calculate the 2 bucket sum of the number of elements. */ two_bkt_num_el = HistNumElementsPtr [bucket_num] + HistNumElementsPtr [bucket num + 1] ; /* If the new two bucket sum is greater than the previous ** we are ascending. */ if ( two_bkt_num_el > last_two_bkt_num_el ) { ascending = TRUE; last_two_bkt_num_el = two_bkt_num_el ; num_repeat_peaks = 0 ,- } /* If this two bucket sum and the previous are the same, ** we are on a plateau and need to record the number of ** repeats. */ else if ( two_bkt_num_el == last_two_bkt_num_el ) { num_repeat_peaks++ ,- } /* If the new two bucket sum is less than the previous ** we are descending. */ else if ( two_bkt_num_el < last_two_bkt_num_el ) { last_two_bkt_num_el = two_bkt_num_el ; /* If we were previously ascending, store the ** peak we just passed. */ if ( ascending == TRUE ) { /* Determine the middle of the peak if it ** has a plateau. */ peak_index = (unsigned char) (bucket_num - 1 - num_repeat_peaks + num_repeat_peaks/2) ; /* Determine the two bucket sum of the number of elements ** from the middle of the peak. Then store it in the ** peak store. */ two_bkt_num_el = HistNumElementsPtr [peak_index] + HistNumElementsPtr [peak_index + 1] ,- HistPeakNumElementsPtr [HistNumPeaks] = two_bkt_num_el ,- /* Determine the two bucket sum of the elements width ** sum from the middle of the peak. Then store it ** in the peak store. */ two_bkt_width = HistWidthSumPtr [peak_index] + HistWidthSumPtr [peak_index + 1] ; two_bkt_width /= two_bkt_num_el; HistPeakAveWidthPtr [HistNumPeaks] = (unsigned short) two_bkt_width; HistNumPeaks++; } else { /* Already descending so don't do anything. */ ascending = FALSE; num_repeat_peaks = 0 ; } /* If now descending */ } /* loop through buckets */ /* If the histogram ending ascending, store the last ** two bucket sum as a peak. */ if ( (ascending == TRUE) && (last_two__bkt_num_el > 0) ) { /* Determine the middle of the peak if it ** has a plateau. */ peak_index = (unsigned char) (bucket_num - 1 - num_repeat_peaks + num_repeat_peaks/2) ; /* Determine the two bucket sum of the number of elements ** from the middle of the peak. Then store it in the ** peak store. */ two_bkt_num_e1 = HistNumElementsPtr [peak_index] + HistNumElementsPtr [peak_mdex + 1] ; HistPeakNumElementsPtr [HistNumPeaks] = two_bkt_num_el ; /* Determine the two bucket sum of the elements width ** sum from the middle of the peak. Then store it ** in the peak store. */ two_bkt_width = HistWidthSumPtr [peak_mdex] + HistWidthSumPtr [peak_index + 1] ; two_bkt_width /= two_bkt_num_el; HistPeakAveWidthPtr [HistNumPeaks] = (unsigned short) two_bkt_width; HistNumPeaks++ ; } /* Check for last peak */ } /* End of function */ *********************************************************************** ****** FUNCTION: DetermmeHistWidthsConfidence AUTHOR: Jon Brandt, 12/20/98 DESCRIPTION: This function determines the confidence level of the binary and multiwidth average element widths. It uses information from the multiwidth and binary widths to determine the confidence level . PSEUDOCODE INPUTS : LABEL_ELEMENTS_INFO_TYPE *info_ptr - pointer to element information for the current potential label The average element widths will be referenced The confidence levels will be filled . bmary_bar_space_wιdth_delta - This is the difference in wιde_narrow distance between bars and spaces for binary element widths The binary element widths are more reliable when this number is low multιwιdth__bar_space_wιdth_delta - This is the difference m wιde__narrow distance between bars and spaces for multiwidth element widths The multiwidth element widths are more reliable when this number HistMultiwidthBarWidthsLoaded - This indicates f there are widths available for multiwidth symbologies HistBinaryBarWidthsLoaded - This indicates if there are widths available for binary symbologies HistBarNumPeaks - This indicates how many bar peaks were identified in the histogram HistSpaceNumPeaks This indicates how many space peaks were identified m the histogram OUTPUTS : LABEL_ELΞMENTS_INFO_TYPE *ιnfo_ptr The confidence level members of this structure will be filled *************** **** *** * ********************* * ** * ********************** ** ***** / void DetermmeHistWidthsConf idence ( LABEL_ELEMENTS_INFO_TYPE *ιnfo_ptr , unsigned short bmary_bar_space_wιdth_delta , unsigned short multιwιdth_bar_space_wιdth_delta ) { unsigned short mm_delta; /* Check if element widths are loaded for multiwidth and binary if ( (HistMultiwidthBarWidthsLoaded == TRUE) && (HistBinaryBarWidthsLoaded == TRUE) ) { /* If the binary is using the multiwidth widthl and wιdth2 ** for it's narrow and wide widths, give more confidence to ** the multiwidth. Also, if multiwidth delta is within 25% ** of the binary delta, we will assume the symbology is a multiwidth. */ mm_delta = (5*bmary_bar_space_wιdth_delta) /4 ,- if ( ( ( mfo_ptr- >bmary_bar_wιdths [0] == fo_ptr- >multιwιdth_bar_wιdths [0] ) && ( mfo_ptr- >bmary_bar_wιdths [1] == mfo_ptr- >multιwιdth_bar_wιdths [1] ) && ( mfo_ptr- >bmary_space_wιdths [0] == mfo_ptr- >multιwιdth_space_wιdths [0] ) && (info_ptr- >binary_space_widths [1] == info_ptr- >multiwidth_space_widths [1] ) ) I I ( multiwidth_bar_space_width_delta < min_delta ) ) { /* Since this is multiwidth but we also have binary widths, ** the binary symbologies will be given some confidence. */ info_ptr- >binary_hist_confidence = HIST_CONFIDENCE_LOW_POSITIVE ; /* Only give the highest rating if there are exactly the ** correct number of histogram peaks for multiwidth. */ if ( (HistBarNumPeaks > 4) | | (HistSpaceNumPeaks > 4) ) { info_ptr- >multiwidth_hist_confidence = HIST_CONFIDENCE_MEDIUM_POSITIVE; } else /* There are exactly the correct number of peaks. */ { info_ptr- >multiwidth_hist_confidence = HIST_CONFIDENCE_HIGH_POSITIVE ; } } else /* There is more confidence in binary than multiwidth. */ { /* There are at least 4 widths which is too many for a binary ** symbology so binary has medium confidence. */ info_ptr- >binary_hist_confidence = HIST_CONFIDENCE_MEDIUM_POSITIVE; /* Multiwidth has low confidence */ info_ptr- >multiwidth_hist_confidence = HIST_CONFIDENCE_LOW_POSITIVE ; } } /* Check if element widths are loaded only for multiwidth. */ else if (HistMultiwidthBarWidthsLoaded == TRUE) { /* There are enough histogram peaks for binary but they don't ** fit the symbology. Give a low negative confidence. */ info_ptr- >binary_hist_confidence = HIST_CONFIDENCE_LOW__NEGATIVE ; /* Only give the highest rating if there are exactly the ** correct number of histogram peaks for multiwidth. */ if ( (HistBarNumPeaks > 4) | | (HistSpaceNumPeaks > 4) ) { info_ptr- >multiwidth_hist_confidence = HIST_CONFIDENCE_MEDIUM_POSITIVE ; } else /* There are exactly the correct number of peaks. */ { info_ptr->multiwidth_hist_confidence = HIST_CONFIDENCE_HIGH_POSITIVE; } } /* Check if element widths are loaded only for binary. */ else if (HistBinaryBarWidthsLoaded == TRUE) { /* Only give the highest rating if there are exactly the ** correct number of histogram peaks for binary. ** Multiwidth will get a little confidence if there are ** three widths. */ if ( (HistBarNumPeaks > 2) | | (HistSpaceNumPeaks > 2) ) { info_ptr- >multiwidth__hist_confidence = HIST_CONFIDENCE_LOW_NEGATIVE ; info_ptr- >binary_hist_confidence = HIST_CONFIDENCE_MEDIUM_POSITIVE; } else /* There are exactly the correct number of peaks for binary ** but there is no way this could be multiwidth. */ { info_ptr->multiwidth_hist_confidence = HIST_CONFIDENCE_HIGHJNFEGATIVE ; info_ptr- >binary_hist_confidence = HIST_CONFIDENCE_HIGH_POSITIVE; } } else /* There are no widths loaded for binary or multiwidth. */ { /* Only give a little confidence if there are enough peaks ** for a symbology type. ** Binary and multiwidth are possible with 3 widths. */ if ( (HistBarNumPeaks > 2) | | (HistSpaceNumPeaks > 2) ) { info_ptr->multiwidth_hist_confidence = HIST_CONFIDENCE_LOW_NEGATIVE; info_jptr- >binary_hist_confidence = HIST_CONFIDENCE_LOW_NEGATIVE ; } /* Give a little confidence to binary if there are enough widths */ else if ( (HistBarNumPeaks > 1) | | (HistSpaceNumPeaks > 1) ) { info_ptr->multiwidth_hist_confidence = HIST_CONFIDENCE_HIGH_NEGATIVE ; info_ptr- >binary_hist_confidence = HIST_CONFIDENCE_LOW__NEGATIVE ; } else /* There is only 1 peak for bars and spaces. No confidence ** is given. * { info_ptr- >multiwidth_hist_confidence = HIST CONFIDENCE HIGH NEGATIVE; info_ptr->binary_hist_confidence HIST CONFIDENCE HIGH NEGATIVE; } . ******************************************************************** * ** ****** FUNCTION: UpdateHistogramCntsAndSum AUTHOR: Jon Brandt, 12/17/98, modified by R. Turkal DESCRIPTION: This function goes through every other element of the label to update the number of elements and element width sum for the histogram. ,- For each element this function 1st checks if the edge strength associated ; with the element is greater than the edge strength threshold. If the edge strength is greated then the threshold it then calculates the index into the histogram. Then it ; updates the number of elements for that bucket and adds the element width to the width ,- sum for the bucket. If the edge strength is less than the threshold the corresponding ; element data is not added to the histogram. INPUTS : unsigned short *HistLblStartPtr - first bar of the label to be added. unsigned short *HistLblEndPtr - last bar of the label to be added, unsigned short HistBucketSize - bucket size of this histogram, unsigned short *HistNumElementsPtr - histogram bucket ptr for number of elements ; unsigned long *HistWidthSumPtr - histogram bucket for the width sum. ,- stvStrengthEdge - if set to l looking at STV (bar) elements, otherwise looking ; at RTV (space) elements ; StrengthPtr - set to edge strength corresponding to the start of the potential label data OUTPUTS : ; unsigned short *HistNumElementsPtr - number of elements histogram will be updated. ; unsigned long *HistWidthSumPtr - width sum histogram will be updated. ;REGISTER USAGE register D: element width and scratch register E: scratch register I : divisor for index determination and pointer to edge strength data . register IY: Pointer to current element of label. register IZ : Pointer to start of number of elements histogram and Pointer to start of element width sum histogram. *********************************************************************** ****** _UpdateHistogramCntsAndSum: pshm k, x,y, z ,- Set up RAM Page ldab #RAM_PAGE tbek tbxk tbyk tbzk bsr _FindSignalStrengthThresholds ,- compute signal strength threshold ,- restart the average edge strength on each possible label ldx _StrengthPtr+2 ; get the strength counts pointer ldd 0 , x ; get the strength count ldx _averageStrength+2 ; get the average strength pointer std 0,x ; store the 1st edge strength value so average works out correctly ;Set up Y with the first element of the label ldy _HistLblStartPtr+2 ADD ELEMENT TO HIST: ldx StrengthPtr+2 get the strength counts pointer ldd 0,x ; get the strength count aix #4 ; adjust the strength counts pointer stx StrengthPtr+2 and save it away cpd strengthThreshold compare against threshold brclr _edgeType , #1 , RTV_EDGE_STRENGTH ;if = 1 we're dealing a STV strength value, ; else we're dealing with an RTV strength value bcs ADD_ELEMENT_T0_HIST1 if carry is clear then stv strength is too large ; (larger STV number weaker edge) bra INC TWO LBL ELEMENTS RTV_EDGE__STRENGTH : bcs INC_TWO_LBL_ELEMENTS if carry set RTV strength value is too small so don't add this ,- element count to the histogram (smaller RTV number = weaker edge) ADD ELEMENT TO HIST1 : ldx averagestrength+2 ,- get the average strength pointer addd 0 , x ; compute average edge strength lsrd ,- divide by 2 std 0,x ; and save average away Divide the element by the bucket size to get the index into the histogram. Index result ,-ends up in X. ldd 0,y ldx _HistBucketSize idiv ,- Check if index is within histogram size. ,-If it is too big, advance 2 elements cpx #NUMBER_OF_BUCKETS jbcc INC_TWO_LBL_ELEMENTS ; Increment correct bucket for this element width. ;Load Z with start of the histogram for number of elements. ldz _HistNumElementsPtr+2 ;Put index in D and multiply it by 2 since ;the number of elements is a 2 byte store. xgdx asld ,-Advance Z to the correct bucket. adz ,- Increment the bucket count for this element . incw 0,z ;Add element width to correct bucket for this element width. ;Load Z with start of the histogram for element width sum. ldz _HistWidthSumPtr+2 ;index*2 is already in D ;Multiply it by 2 again since the element width sum ;is a 4 byte store. asld ;Advance Z to the correct bucket. adz ;Load E:D width element width ldd 0,y clre ;Add current sum to E:D and store it back in histogram. addd 2,z adce 0 , z std 2, z ste 0,z ;Advance 2 elements so we continue processing ;the same element type (if we are doing bars go to ,-the next bar) . Each element is a 2 byte store. INC_TWO_LBL_ELEMENTS : aiy #4 cpy _HistLblEndPtr+2 jbls ADD_ELEMENT_TO_HIST ;Return pulm k,x,y, z rts .*********************************************************************** ****** FUNCTION: FindSignalStrengthThresholds AUTHOR; R. Turkal DESCRIPTION: This function used to compute the RTV and STV edge strength tolerances which ; are used to determine if an element count will be added to the label histogram. ; This function goes through the edge strength buffer, determines the strongest RTV and STV edges, and then calculates the thresholds. This function is called twice for each potential label found (i.e. on each leading ; and trailing QZ) . It is called once for the RTV counts and once for the STV counts . ; In this manner we are always using a dynamic edge strengt threshold for each potential label . INPUTS : stvStrengthEdge if set to 1 calculate the STV threshold, otherwise calculate the RTV threshold, HistLblStartPtr set to the start of the potential label data HistLblEndPtr - set to the end of potential label data StrengthPtr - set to edge strength corresponding to the start of the potential label data OUTPUTS : strLimit set to the threshold to use. It is used for both the RTV and STV threshold. REGISTER USAGE registers A,B,D,E,X,Y are scratch and used for multiple purposes, register Y points to potential label data and is used as a counter to indicate ; when all interesting data has been examined. ; register X points to the edge strength buffer and is used to examine the various edge strength values . *********************************************************************** ****** _FindSignalStrengthThresholds : ,-Set up Y with the first element of the label Idy _HistLblStartPtr+2 ldx _StrengthPtr+2 ,- get the strength counts pointer brclr _edgeType, #1, GET_RTV_STRENGTH ;if = 1 we're dealing with a STV strength value. ; The following code is used to compute the STV edge strength tolerance. ldd ΞtvBaseLine ,-get the stv base line value STV_STRENGTH_LOOP : cpd 0 , x ; compare against next edge strength value bcs SET_POINTERS_l ;if carry clear new stv strength is smaller (stronger) ldd 0,x ;get new strength to compare against (strongest signal so far) SET_POINTERS_l : aix #4 aiy #4 cpy _HistLblEndPtr+2 jb1s STV_STRENGTH_LOOP ; The strongest rtv signal is in d lde _stvBaseLine ;get stv base line measurement sde ;e = strongest stv edge xgde d = strongest stv edge lsrd d = .5 strongest edge lsrd d = .25 strongest edge lde _stvBaseLine get stv base line measurement sde ,-e = stvBaseLine - .25 of strongest stv value lsrd ,-d = .125 strongest edge sde ,-e = stvBaseLine - .375 of strongest stv value = stv threshold ste _strengthThreshold ; store stv threshold for use by histogram rts ,- done ; The following code is used to compute the RTV edge strength tolerance. GET_RTV_STRENGTH : ldd rtvBaseLine ;get the rtv base line value RTV_STRENGTH_LOOP : cpd 0 , x ; compare against next edge strength value bcc SΞT_POINTERS_2 ,-if carry set new rtv strength is larger (stronger) ldd 0,x ,-get new strength to compare against (strongest signal so far) SET_POINTERS_2 : aiy #4 cpy _HistLblEndPtr+2 jbls RTV_STRENGTH_LOOP ; The strongest rtv signal is m d subd _rtvBaseLine ;d = strongest edge lsrd d = .5 strongest edge lsrd d = .25 strongest edge lde _rtvBaseLme get rtv base line measurement ade ,-e = rtvBaseL e + .25 of strongest rtv value lsrd ;d = .125 strongest edge ade ,-e = rtvBaseLme + .375 of strongest rtv value = rtv threshold ste _strengthThreshold ,- store rtv threshold for use by histogram rts ; done . else

Claims: WHAT IS CLAIMED IS: 1. In a bar code scanning system, a method for compiling element width information from scans of label data for use in decoding character information comprising: receiving at least one scan of label information comprising bar element information- and space element information; capturing element widths in relation to the bar element information and element widths in relation to the space element information; separately storing bar element widths and space element widths in at least one data store, respectively; and, repeating the steps of capturing element widths and separately storing bar element widths and space element widths for each scan of label information received. 2. The method of claim 1 wherein the bar element widths and space element widths are stored in respective data stores associated with corresponding ranges of element widths 3. The method of claim 2 further comprising the step of calculating and storing the number of elements in a given range of element widths. 4. The method of claim 2 further comprising the step of calculating and storing the total sum of the widths in a given range of element widths. 5. The method of claim 2 further comprising the step of calculating and storing a value representing the average element widths for all scans of label information received. 6. The method of claim 1 further comprising the steps of: capturing edge confidence levels in relation to the bar element information and the space element information; and, calculating average edge confidence levels in relation to all of the edge confidence levels captured. 7. The method of claim 6 wherein the strength of the first derivative of the signal comprising the scans of label information comprises the edge confidence levels. 8. The method of claim 6 wherein edge confidence levels information is utilized to confirm quiet zones. 9. The method of claim 6 wherein the calculated edge confidence level information is utilized to filter poor quality element width information from being stored in the at least on data store. 10. In a bar code scanning system, a method for distinguishing binary symbologies from multi-width symbologies through element width histograms generated from scans of label information comprising the steps of: gathering element width data in relation to the bar and space elements identified from scans of label information; storing the gathered element width data in association with element width ranges in a histogram, wherein the histogram comprises a series of element width ranges covering the possible element widths for a potential scanned label; ~ finding peaks in the histogram; and decoding peaks in the histogram to determine whether the gathered element width data represents a binary symbology or a multi- width symbology. 11. The method of claim 10 wherein the steps of gathering and storing element width data further comprises the steps of: identifying quiet zones of a potential label from the scans of label information; identifying element width data for bar elements and space elements, respectively, in relation to the identified quiet zones; adding identified bar element width data and space element width data, respectively, to the histogram in association with corresponding element width ranges; generating the number of elements in each element width range; and generating the total sum of all elements in each element width range, respectively. 12. The method of claim 10 wherein the step of finding peaks in the histogram further comprises the steps of: generating sums of the number of elements in each consecutive set of two element width ranges for bar elements and space elements, respectively; searching the consecutive sets of two element width ranges for which sums were generated to identify peaks; calculating the average element width for each peak identified; and selecting all sets of two element width ranges wherein the generated sums are greater than the sums of both neighboring sets of two element width ranges. 13. The method of claim 10 wherein the step of decoding peaks in the histogram further comprises the steps of: calculating and storing the average element width for each peak found; determining which peaks could represent element widths for the label; and, decoding the determined peaks to identify the type of symbology. 14. The method of claim 13 wherein the step of decoding the determined peaks further comprises the step of matching element widths of the determined peaks with potential element widths for binary or multi-width symbologies, respectively. 15. The method of claim 10 further comprising the step of determining the quality of the gathered element widths as either binary or multi-width symbology element widths. 16. The method of claim 15 wherein the consistency of respective bar and space element widths gathered and the number of unused histogram peaks may be used to determine the quality of the gathered element widths as either binary or multi-width symbology element widths. 17. The method of claim 15 wherein the quality of gathered elements is ~ determined by comparing the elements as detected with target element widths that have been calculated as being appropriate for the label if it were of a particular symbology. 18. The method of claim 15 wherein the quality of gathered elements is determined from a confidence rating for the edges of the elements as compared to a calculation of such value for the rest of the character or label being decoded. 19. In a bar code scanning system, a method for recreating an otherwise undecodable character from a scan of label data comprising label character information, the method comprising the steps of: receiving at least one scan of label information comprising character information composed of bar element width and space element width information; identifying an individual character containing corrupted bar and space element widths, wherein the individual character comprises an otherwise undecodable character from a scan of label data; and, reconstructing originally intended bar and space element widths associated with the otherwise undecodable character to correct for the corrupted bar and space element widths and allow decoding of the otherwise undecodable character information. 20. The method of claim 19 wherein the step of reconstructing further comprises the steps of; determining expected widths for bar and space elements in the character; comparing the corrupted bar and space element widths against the determined expected element widths to identify element widths that may be in error; and, adjusting the corrupted bar and space element widths based on the comparison against determined expected element widths. 21. The method of claim 20 wherein expected widths are determined based upon knowledge of the total width of the character and specifics of the potential symbology represented by the scan of label data. 22. The method of claim 20 wherein the element widths are adjusted based upon the number of elements, the placement of elements, and the size of element widths expected for the symbology. 23. The method of claim 20 wherein the steps of comparing and adjusting comprises edge-matching and element filling. 24. The method of claim 20 wherein the steps of comparing and adjusting comprises edge-matching and element splitting. 25. The method of claim 20 wherein the steps of comparing and adjusting comprises edge-matching. 26. The method of claim 25 wherein the edge-matching utilizes edge strength" information. 27. The method of claim 23 wherein edge-matching and element filling utilizes edge strength information. 28. The method of claim 19 wherein the step of reconstructing further comprises the steps of comparing the bar and space element width pattern of the otherwise undecodable character against all possible characters for the potential symbology represented by the scan of label data; identifying the closest match based on the comparison; and, selecting the closest match as the decoded character upon validation through subsequent scans of label data. 29. The method of claim 19 wherein the steps of identifying an individual character containing corrupted bar and space element widths and reconstructing originally intended bar and space element widths further comprises the steps of: determining which elements in the character are corrupted by calculating and setting category thresholds based on widths; sorting the elements into the categories by comparing each element in the character with the thresholds; sorting the elements into the different categorized ranges of widths; and, reconstructing the character elements based upon rules applied to the results of the element sorting. 30. In a bar code scanning system, a method for assembling label information from partial scans of label data which may comprise some undecodable characters, the method comprising the steps of: receiving scans of label data comprising character information; sequentially decoding characters in each scan of label data received; storing decoded character information in association with corresponding position information; and, merging decoded character information from multiple scans provided that each decoded character so merged has been stored in association with the same corresponding position a fixed number of times. 31. The method of claim 30 further comprising the step of verifying that the merged decoded character information comprises a complete and valid label segment. 32. The method of claim 31 further comprising the step of repeating the steps of receiving, sequentially decoding, and merging for further scans of label data until a complete label is obtained. ~~ 33 The method of claim 30 wherein the step of sequentially decoding characters in each scan of label data received further comprises the steps of: skipping character information that can not be decoded as a valid character; storing an undecodable character identifier in association with position information with respect to the skipped character information; and, advancing to the next character information using expected character boundary information. 34. The method of claim 30 wherein the fixed number of times that each decoded character has been stored in association with the same corresponding position is two (2). 35. In a bar code scanning system, a method for assembling label information from partial scans of label data which may comprise some undecodable characters, the method comprising the steps of: receiving scans of label data comprising character information; sequentially decoding characters in each scan of label data received; storing decoded character information in association with corresponding position information; identifying and associating a confidence measure with each decoded character stored in association with corresponding position information; and, merging decoded character information from multiple scans provided that each decoded character so merged has been stored in association with the same corresponding position a number of times that is determined in relation to the corresponding confidence measure associated with that decoded character. 36. The method of claim 35 wherein the step of merging decoded character information comprises stitching partial scans of label data. 37. The method of claim 35 wherein the step of merging decoded character information comprises correlation of character information across multiple scans of label data. 38. The method of claim 37 wherein the step of merging decoded character information comprises stitching of multiple scans of label data. 39. The method of claim 38 wherein thresholds for element ranges are utilized with respect to decoding characters and further comprising the step of adjusting thresholds to reduce the acceptable range of element widths. 40. In a bar code scanning system, a method for assembling label information from partial scans of label data which may comprise some undecodable characters, the " method comprising the steps of: receiving scans of label data comprising decodable and undecodable character information; decoding decodable character information; storing decoded character information for decodable characters in association with position information; storing an undecoded character identifier for undecodable characters in association with position information; repeating the receiving and storing steps for additional scan lines; tracking the number of times each decoded character information has been stored in association with the same position information; merging stored information from multiple scan lines when each decoded character information has been stored in association with the same position information a specified number of times; and, verifying merged label information. 41. The method of claim 40 wherein the tracking step further comprises the step of decrementing the number of times a particular decoded character information has been stored in association with the same position information upon decoding a different decoded character information in association with the same position information. 42. The method of claim 41 further comprising the step of replacing the stored decoded character information in association with position information with a new decoded character information in association with the same position information when the number of times the stored decoded character information has been stored is decremented to zero. 43. In a bar code scanning system, a method of assembling label information from partial scans of label data which may comprise some undecodable characters, the method comprising the steps of: receiving scans of label data comprising character information; decoding the scans of label data and storing decoded character information in association with position information; and, merging the new scan of label data with the stored scan of label data. 44. The method of claim 43 further comprising the step of performing a merge check prior to merging in order to determine if a specified percentage of decoded characters in a new scan of label data match in value and position to those of a stored scan of a label to be merged. 45. The method of claim 43 further comprising the step of verifying and" accepting the merged label data. 46. The method of claim 45 wherein the step of verifying and accepting merged label data is performed in accordance with preestablished rules. 47. The method of claim 45 wherein the step of verifying and accepting merged label data requires less stringent criteria with respect to scans of label data decoded from consecutive scans than with respect to scans of label data decoded from non-consecutive scans. 48. In a bar code scanning system, a method for enhancing the decodability of label information from scans of label data comprising the steps of: receiving scans of label data comprising character information encoded in one of a variety of potential symbologies; identifying leading and/or trailing quiet zones of the scans of label data received; determining the most likely symbology type comprising the scans of label data type from the variety of potential symbologies; and, selecting at least one decoding method to be implemented based upon the symbology type determined to be the most likely symbology type comprising the scans of label data. 49 In a bar code scanning system, a method for enhancing the decodability of label information from scans of label data comprising the steps of: receiving scans of label data comprising character information encoded in one of a variety of potential symbologies; determining which of the variety of potential symbologies has the highest likelihood of yielding successful decoding of the scans of label data; and, selecting at least one decoding method to be implemented based upon the symbology type determined to be the most likely symbology type comprising the scans of label data. 50. The method of claim 49 wherein the step of determining which of the variety of potential symbologies has the highest likelihood of yielding successful decoding further comprises the steps of: generating rating values for each of at least one indicator, wherein each indicator provides a relative indication of the likelihood of yielding successful decoding in relation to each of the variety of potential symbologies; and ordering the variety of potential symbologies with the symbology having the highest likelihood of yielding successful decoding ranked first and the symbology having the lowest likelihood of yielding successful decoding ranked last. 51. The method of claim 50 wherein the ordering of the variety of potential symbologies is determined through a weighted calculation of the generated rating values " for each indicator and each of the variety of potential symbologies. 52. The method of claim 50 wherein the indicators comprise the start/stop pattern, the element width histograms, the number of elements in the label, the length of the label in time, the number of labels decoded for each symbology, the number of characters decoded in previous scans for each symbology, and character equality checks. 53. The method of claim 50 wherein the step of ordering the variety of potential symbologies comprises user programmed information regarding the likelihood of yielding successful decoding in relation to at least one of the variety of potential symbologies 54. In a bar code scanning system, a decoding method comprising the steps of: receiv ing at least one scan of label data comprising character information from a label; and, systematically employing one or more of a variety of decoding techniques to decode the character information from the at least one scan of label data received. 55. The method of claim 54 wherein the step of systematically employing one or more of a variety of decoding techniques further comprises the steps of: associating levels of aggressiveness with each of the variety of decoding techniques; and, attempting less aggressive techniques first with more aggressive techniques being attempted sequentially upon failure of the less aggressive techniques to successfully decode character information in a defined time period. 56. The method of claim 55 wherein the defined time period is measured in numbers of scans. 57. The method of claim 54 wherein the step of systematically employing one or more of a variety of decoding techniques further comprises the step of receiving user input regarding the decoding techniques to be employed. 58. The method of claim 55 wherein the step of attempting less aggressive techniques first with more aggressive techniques being attempted sequentially upon failure of the less aggressive techniques to successfully decode character information in a defined time period further comprises the step of obtaining input regarding the least aggressive technique to start with. 59. The method of claim 55 wherein the step of attempting less aggressive techniques first with more aggressive techniques being attempted sequentially upon failure of the less aggressive techniques to successfully decode character information in a defined time period further comprises the step of obtaining input regarding the most aggressive technique allowed to be employed. — 60. The method of claim 59 wherein the input regarding the most aggressive technique allowed to be employed is obtained through programming. 61. The method of claim 59 wherein the input regarding the most aggressive technique allowed to be employed is obtained through user input. 62. The method of claim 59 wherein the input regarding the most aggressive technique allowed to be employed is obtained through learning based upon past decoding by the system. 63. The method of claim 59 wherein the input regarding the most aggressive technique allowed to be employed differs based upon the symbology to be decoded. 64. The method of claim 54 wherein the step of systematically employing one or more of a \ ariety of decoding techniques further comprises the steps of: associating levels of aggressiveness with each of the variety of decoding techniques; and, attempting less aggressive levels of decoding first with more aggressive levels of decoding being attempted sequentially upon failure of the less aggressive levels to successfully decode character information. 65. The method of claim 64 wherein a first level of aggressiveness is associated with standard decoding techniques, a second level of aggressiveness is associated with character correlation and traditional stitching decoding techniques, a third level of aggressiveness is associated with character reconstruction and variable length stitching decoding techniques, and a fourth level of aggressiveness is associated with element correlation. 66. The method of claim 54 further comprising the steps of: tracking information regarding the decoding techniques required to successfully decode a particular label; assessing the quality of the particular label based upon information regarding the decoding techniques required to successfully decode that particular label; and, reporting the assessed label quality information to the user. 67. The method of claim 55 wherein the current level of aggressiveness is adjusted through hardware. 68. In a bar code scanning system, a decoding method comprising the steps of: receiving at least one scan of label data comprising an analog representation of character information from a label; digitizing each of the at least one scan of label data to provide digital representations of the character information from the label; attempting to decode the digital representations of the character information frorrr the label; and decoding the analog representation of the character information from the label only if the attempts to decode the digital representations are unsuccessful. 69. In a bar code scanning system, a decoding method comprising the steps of: receiving at least one scan of label data comprising character information from a label; implementing a learning mode wherein the scanner determines which of a variety of variously aggressive techniques is most likely to yield a successful decode in the least aggressive manner based upon the symbology to be decoded; and, attempting to decode the label information starting with the least aggressive technique identified in the implemented learning mode. 70. The method of claim 69 wherein the learning mode is implemented by scanning a special learning mode label. 71. The method of claim 69 wherein the learning mode is implemented through hardware. 72. The method of claim 69 wherein the learning mode is continuously implemented such that information from all label decodes is utilized to adjust the determination of which of the variety of variously aggressive techniques is most likely to yield a successful decode on an ongoing basis. 73. In a bar code scanning system, a decoding method comprising the steps of: receiving at least one scan of label data comprising character information from a label; decoding the character information from the at least one scan of label data received; and, utilizing feedback from decoding to adjust signal processing parameters to enhance future decodability of label information. 74. In a bar code scanning system, a method of decoding comprising the steps of: receiving at least one scan of label data comprising character information from a label; assigning a total number of decoding credits to be used in decoding of each of the at least one scan of label data; implementing decoding techniques to attempt decoding of each of the at least one scan of label data, wherein each of the decoding techniques which may be implemented has a number of decoding credits assigned thereto; decrementing the assigned total number of decoding credits to be used in decoding each of the at least one scan of label data by the value of the decoding credits assigned tσ" each decoding technique implemented; and, discontinuing decoding of each of the at least one scan of label data if the total number of decoding credits is decremented to zero prior to successful decoding being obtained. 75. The method of claim 74 wherein decoding techniques that are more aggressive are assigned a higher number of decoding credits than are decoding techniques that are less aggressive. 76. In a bar code scanning system, a method for improving the decodability of label information from scan lines generated by the scanning mechanism comprising the steps of: receiving scan lines comprising label data; identifying the portions of the received scan lines that are distorted due to mechanical aspects of the scanning mechanism; and, adjusting the identified portions of the received scan lines based upon predetermined offset amounts associated with position information in relation to the change in speed of the scanning mechanism over the scan line. 77. The method of claim 76 further comprising the step of decoding character information in relation to the adjusted scan lines. 78. In a bar code scanning system, a method for improving the decodability of label information from scan lines generated from rounded surfaces comprising the steps of: receiving scan lines comprising label data incorporated into a label affixed to a rounded surface; identifying leading and trailing ends of the received scan lines that are distorted due to the rounded surface upon which the label is affixed; and, adjusting the identified leading and trailing ends of the received scan lines utilizing interpolation techniques to determine offset amounts associated with position information over the scan line to correct for element width distortion. 79. The method of claim 78 wherein the offset amounts are utilized to directly adjust element widths for decoding of character values. 80. The method of claim 78 wherein the offset amounts are utilized in conjunction with character reconstruction to fit elements into patterns templates.

Inventors: ATWATER CHARLES F, BRANDT JONATHON R, DAVIS GLEN W, ATWATER, CHARLES, F., BRANDT, JONATHON, R., DAVIS, GLEN, W.
Applicants: PSC SCANNING INC, PSC SCANNING, INC.
Application year: 1999
Main classification: G06K7
IPC codes: G06K7