Abstract:
A system and method of the extraction of textual data from a digital image using a data pattern comprised of visible and invisible characters to locate the data to be extracted and upon find such data populating the fields of an associated data base with the extracted visible data. The digital image to be processed is first compared against master document images contained in a database. Upon determining the proper master document image, a template having predefined data zone is applied to the image to create zone images. The zone images are optically read and converted into a character file which is then parsed with the pattern to locate the text to be extracted. Upon finding data matching the pattern, that data is extracted and the visible portions used to populate data fields in a database record associated with the digital image. 
     In an alternate embodiment, if the extracted data cannot be successfully matched, a validation file of the unmatched data is created for review by an operator. In a further embodiment, if the scanned digital image cannot be matched with an existing master document image, a new master document image can be created from the unmatched digital image. In another alternate embodiment, alternate patterns can be used to search the data files allowing for variation in format of the data being extracted.

Description:
CROSS-REFERENCE TO RELATED INVENTIONS 
     Not Applicable 
     STATEMENT REGARDING FEDERALLY FUNDED RESEARCH 
     Not Applicable 
     REFERENCE TO A MICROFICHE INDEX 
     Not Applicable 
     COPYRIGHT NOTICE 
     Copyright 1999 Computer Services, Inc. A portion of the disclosure of this patent document contains materials which are subject to copyright protection. The owner has no objection to the facsimile reproduction by anyone of the patent document or patent disclosure, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all rights, copyright rights whatsoever. 
     BACKGROUND OF THE INVENTION 
     1. Field Of The Invention 
     This invention generally relates to systems and methods for the extraction of data from digital images and more particularly, to a system and method for the extraction of textual data from digital images. 
     2. Background Information 
     Systems are known which import data from scanned paper documents. Typically, these systems identify by physical location a data field in a scanned image of a blank document. When the system scans documents conforming to that blank document type, the data field location information is used to identify the area in the scanned document where the corresponding data appears and that data is then converted from bit mapped image data to text data for storage in a database. 
     In U.S. Pat. No. 4,949,392 entitled “Document Recognition and Automatic Indexing for Optical Character Recognition,” issued Aug. 14, 1990, preprinted lines appearing on the form are used to locate text data and then the pre printed lines are filtered out of the image prior to optical character recognition processing. In U.S. Pat. No. 5,140,650 entitled “Computer Implemented Method for Automatic Extraction of Data from Printed Forms,” issued Aug. 18, 1992, lines in the image of a scanned document or form are used to define a data mask based on pixel data which is then used to locate the text to be extracted. In U.S. Pat. No. 5,293,429 entitled “System and Method for Automatically Classifying Heterogeneous Business Forms,” issued Mar. 8, 1994, the system uses a definition of lines within a data form to identify fields where character image data exists. Blank forms are used to create a form dictionary which is used to identify areas in which character data may be extracted. In U.S. Pat. No. 5,416,849 entitled “Data Processing System and Method for Field Extraction of Scanned Images of Document Forms,” issued May 16, 1995, the system of document image processing uses Cartesian coordinates to define data field location. In U.S. Pat. No. 5,815,595 entitled “Method and Apparatus for Identifying Text Fields and Checkboxes in Digitized Images,” issued Sep. 29, 1998, a system locates data fields using graphic data such as lines. In U.S. Pat. No. 5,822,454 entitled “System and Method for Automatic Page Registration and Automatic Zone Detection during Forms Processing,” issued Oct. 13, 1998, the system uses positional coordinate data to identify areas within a scanned document for data extraction. In U.S. Pat. No. 5,841,905 entitled “Business Form Image Identification Using Projected Profiles of Graphical Lines and Text String Lines,” issued Nov. 24, 1998, the system uses cross-correlation of graphical image data to identify a form and the areas within the form for data extraction. 
     Each of these patents discloses a system which uses graphical data to identify forms or regions within a form for data extraction. By relying on graphical data to identify areas for data extraction, should additional or the wrong type of textual data be present in such areas that data will also be extracted and stored. It would be advantageous to be able to determine if the extracted data matches the type of data that is expected to be on the form. Also if the data were of the correct type but mispositioned somewhat with respect to its expected position on the document, it would be advantageous to be able to locate and extract such the mispositioned data. Further where data is on multiple pages, such as a two page phone bill, with the systems mentioned above, each page of the phone bill that looks different would have to be defined as a new template. It would be advantageous to have a system that can process data from multiple page forms without requiring additional preprocessing effort. 
     SUMMARY OF THE INVENTION 
     The present invention is a system and method for the extraction of textual data from digital images using a predefined pattern of visible and invisible characters contained in the textual data. The system comprises an image mapper, a template mapper, a zone optical character reader (OCR), a zone pattern comparator and data extractor, an extracted data parser and datastore. The datastore comprises a master document image database comprised of at least one table containing at least one master document image, a template database and an extracted data database. The template database comprises at least one table comprising at least one template associated with a master document image. The template has at least one zone and associated with each zone is a unique pattern comprised of one or more data segments. Each data segment comprises a predefined sequence of visible and invisible characters, with selected ones of the data segments being associated with an extracted data field in an extracted database record. The extracted data database comprises at least one table of extracted database records and each record comprises at least one data field for storing textual information extracted from the digital image. 
     The image comparator receives from the master document image database in the datastore a master document image for comparison with a digital image. The image comparator provides an output indicative of the success of the comparison. The template mapper, on receiving the image comparator output indicating a successful comparison, retrieves from the template database in the datastore the template associated with the successfully compared master document image and applies this template to the digital image. The template mapper provides as an output an image of each zone associate with the applied template. The zone optical character reader (OCR) receives the zone images and creates as an output a zone data file of the characters in each zone image. The zone pattern comparator receives from the template database the pattern associated with the zone and compares the pattern to the zone data file. In the event that the pattern is found, the data matching the pattern digital is extracted. The extracted data parser receives the extracted data and parses it based on the pattern and populates the data field of the database record associated with the digital image which is stored in the extracted data database. 
     The method for the extraction of textual data comprises: 
     a) selecting from a database a master document image having associated therewith a template, zone, and associated with each zone a pattern comprised of one or more data segments containing a data sequence of one or more characters; 
     b) creating an unpopulated database table having one or more data records, each data record having one or more data fields for containing visible character data extracted from the digital image and associating the database table with the master document image and the database record with the digital image, and, for at least one of the data segments containing visible data associating it with a database field; 
     c) comparing the digital image to the master document image and upon a successful match occurring: 
     applying the template and zone therein to the digital image, 
     performing optical character recognition on the character images within the zone, 
     creating a zone data file containing the characters optically read from the zone; 
     comparing the zone data file with the pattern associated with the zone; 
     extracting the data in the zone data file that matches the pattern, and, for each data segment associated with a data field, populating the data field with the visible data extracted from the zone data file corresponding to that data segment. 
     In an alternate embodiment, if the extracted data cannot be successfully matched, a validation file of the unmatched data is created for review by an operator. In a further embodiment, if the scanned digital image cannot be matched with an existing master document image, a new master document image can be created from the unmatched digital image. In another alternate embodiment, alternate patterns can be used to search the data files allowing for variation in format of the data being extracted. 
     There has thus been outlined, rather broadly, the more important features of the invention in order that the detailed description thereof that follows may be better understood, and in order that the present contribution to the art may be better appreciated. In the several figures where there are the same or similar elements, those elements will be designated with similar reference numerals. There are, of course, additional features of the invention that will be described hereinafter and which will form the subject matter of the claims appended hereto. In this respect, before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the drawings. The invention is capable of other embodiments and of being practiced and carried out in various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting. As such, those skilled in the art will appreciate that the conception, upon which this disclosure is based, may readily be utilized as a basis for the designing of other structures, methods and systems for carrying out the several purposes of the present invention. It is important, therefore, that the claims be regarded as including such equivalent constructions insofar as they do not depart from the spirit and scope of the present invention. 
     Further, the purpose of the foregoing abstract is to enable the U.S. Patent and Trademark Office and the public generally, and especially the scientists, engineers and practitioners in the art who are not familiar with patent or legal terms or phraseology, to determine quickly from a cursory inspection the nature and essence of the technical disclosure of the application. The abstract is neither intended to define the invention of the application, which is measured by the claims, nor is it intended to be limiting as to the scope of the invention in any way. 
    
    
     BRIEF DESCRIPTION OF THE DRAWINGS 
     For a more complete understanding of the present invention and the advantages thereof, reference should be made to the following Detailed Description taken in connection with the accompanying drawings in which: 
     FIG. 1 is a schematic diagram of the data extraction system of the present invention. 
     FIG. 2 is a schematic diagram of the master document image production system. 
     FIG. 3 is an illustration of a computer screen for a computer programmed to perform data extraction and master document image production. 
     FIGS. 4A,  4 B and  4 C illustrate screens presented to a user for the creation of a new table file, opening an existing table file and for naming the new file, respectively used in the creation of a new master document image. 
     FIG. 5A is an example of an invoice which would be processed in the system using the method of the invention and FIG. 5B is an example of a master document image created from the invoice shown in FIG.  5 A. 
     FIGS. 6A-6I present menus used for defining image enhancement properties and functions to be used on the digital image being processed during creation of a master document image. 
     FIG. 7 illustrates a screen showing the use of erase zones in the creation of a master document image. 
     FIG. 8 illustrates a screen showing the raw image, straight image and master document image from which data has just been erased during the creation of a master document image. 
     FIG. 9 illustrates data zones on a document image that is being used to create a master document image. 
     FIG. 10 illustrates the use of a OCR zone, the data contained within that zone and the data template to be used for the data contained within the highlighted OCR zone to create a pattern. 
     FIG. 11 is an enlargement of the data template and OCR window of FIG. 10 showing the correlation between the data contained in the image and that used in the data template. 
     FIG. 12 is a screen illustration displaying data captured in a test of the master document image using the data pattern and data template defined in FIG.  11 . 
     FIGS. 13A and 13B illustrate two alternate address patterns used in the system and method of the invention. 
     FIGS. 14A and 14B illustrate the process flow diagram used for the extraction of data from a digital image and also the creation of a master document image. 
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
     System Overview 
     FIG. 1 illustrates the, data extraction system  100  used for extracting textual data from digital images. The system  100  comprises image comparator  101 , template mapper  106 , zone optical character reader (OCR)  110 , zone pattern comparator and data extractor  114 , extracted data parser  118  and datastore  124 . 
     Comprising datastore  124  is master document image database  128 , template database  134 , and extracted data database  138 . A digital scanner  144  can also be provided. Master document image database  128  comprises at least one table containing at least one document image. As master document images are created, the system store them in this database for reference and use by the system  100 . Template database  134  comprises at least one database table having at least one template associated with a master document image. Each template has at least one zone and associated with the zone is a unique pattern comprised of one or more data segments. Each data segment comprises a predefined sequence of visible and invisible characters and selected ones of the pattern segments are associated with a data field in the extracted database record. Extracted data database  138  comprises at least one table of extracted database records. Each record comprises one or more data fields which are used for the storing of textural information that is extracted from the digital image. Preferably, the tables in the databases  128 ,  134 ,  138  are part of a relational database such as Microsoft ACCESS. 
     Image comparator  101  receives at input  102  a digital image. This digital image can be produced and output from scanner  144  or it can be received via a diskette or from a remotely located scanner or image database via a network connection. Image comparator  101  is also in communication with the data store  124  and, in particular, with master document image database  128 , from which it requests and receives a master document image at input  103 . Image comparator  101  compares the master document image to the digital image and provides an output  104  indicative of the success of the comparison. If the comparison is unsuccessful, and if more master document images are available, a new master document image is selected for comparison. Template mapper  106  is in communication with datastore  124  and, in particular, with template database  134 , and output  104  of image comparator  101 . On receiving the image comparator output indicating a successful comparison, template mapper  106  retrieves the template from the template database associated with the successfully compared master document image. Template mapper  106  then applies the template received at input  107  to the digital image also sent from image comparator  101  and received at input  105 . The template contains one or more zones which are applied to the digital image. At output  108  of template mapper  106 , an image of each zone associated with the applied template is provided as input  109  to zone optical character reader  110 . Zone optical character reader  110  in communication with the template mapper creates a zone data file from the character images in each zone that it receives and provides a corresponding zone data file as an output  111  which serves as an input  112  to the zone pattern comparator and data extractor  114 . This data file contains both visible and invisible characters. Zone pattern comparator  114  is in communication with datastore  124  and receives at input  113  from template database  134  the pattern associated with the zone. Each zone has one unique pattern of characters associated with it. The characters can be only alphabetic characters (alpha characters), numeric characters, invisible characters such as SPACE, LINE FEED and CARRIAGE RETURN, or any combination of these character types. This pattern is then compared against the data contained in the zone data file. In the event that the pattern is found in the zone data file, the data matching the pattern is extracted and is provided as an output  116  which is then received as an input  117  to extracted data parser  118 . Upon receiving the extracted pattern information, extracted data parser  118  parses the data in the extracted data file and populates the data field of the database record received at port  119  associated with the pattern that is contained to extracted data database  138 . 
     The items indicated within a dashed box  150  can all be performed in an appropriately programmed computer system. This general purpose computer can be programmed to be image comparator  101 , template mapper  106 , zone OCR  110 , zone pattern comparator  114 , extracted data parser  118 , and provide datastore  124  including the databases  128 ,  134  and  138  and the associated relational database program. Preferably, the system operates in a windows-type environment such as Microsoft NT or Microsoft Windows 95 or Windows 98. 
     System  100  can be further enhanced to provide means for creating a master document image. The system for creating master document image  200  is illustrated in FIG.  2 . Master document image database  128  and template database  134  of datastore  124  are used in system  200 . Also, scanner  144  provides the digital image from which the master document image and associated template zones and patterns are created. The master document image production system  200  comprises image enhancer  220 , zone mapper  226 , zone OCR  232  and a pattern mapper  238 . At its input  210 , image enhancer  220  receives the raw digital image, in this case, from scanner  144 . At image enhancer  220 , the operator selects and the system performs one or more of the following operations on the raw image: deskewing, registration, align management, fixed white text, noise removal, character enhancement, image orientation, image enhancement, and image extraction. Preferably, deskewing and registration are done on every scanned imaged. These operations are explained herein in the following section. After the various operations have been selected, each is performed on the digital image producing at output  222  an enhanced digital image as the output of image enhancer  220 . Zone mapper  226  in communication with the image enhancer receives the enhanced image at input  224 . Zone mapper  226  comprises means for selecting one or more regions of the enhanced image and defining a selected region as a zone. Also, zone mapper  226  is provided with means for selectably removing or erasing images and data contained within a selected zone and means for associating each zone defined in the enhanced image with a template. This enhanced image is provided at output  228 . System  200  stores the enhanced image having unnecessary data and graphic images removed form the master document image in master document image database  128 . Preferably, the selecting, erasing and associating means are provided in a general purpose computer programmed to provide this functionality. 
     Each zone that has been selected in zone mapper  226  is then provided as an input  230  to zone OCR  232 . As is known in the art, zone OCR  232  converts the character images contained in the zones into an ASCII data file comprised of visible and invisible characters and provides this data file at output  234 . For example the ASCII codes (in hexadecimal)  09 ,  20 ,  0 A, and  0 B for tab, space, line feed and carriage return, respectively, are examples of invisible charters found in a scanned image. Output  234  of zone OCR  232  is provided as an input  236  to pattern mapper  238 . Pattern mapper  238  in communication with both zone OCR  232  and data store  124  defines the pattern which will be then use for extracting data from the digital images which match the master document image. In pattern mapper  238 , means are provided for selecting from the data file a sequence of characters to be used to define the pattern. Normally, this is accomplished by providing a window on a computer containing the sequence of data characters. Also, provided are means for creating a data template having one or more non-overlapping data segments. Each of these data segments contain one or more characters that are contained in the pattern to be created. Means are also provided for selectably associating with each data segment one or more of the following characteristics: capture data indicator, data type, data format, element length, table name, field name, field type, field length, and validation indicator. Lastly, means are provided for associating the pattern and its associated characteristics with the zone. As mentioned previously, each zone and pattern exist in a one-to-one relationship. However, a zone can encompass more characters than are found in the pattern associated with that zone. Pattern mapper  238  then provides the pattern at output  240  and stores the template and associated zones, patterns and characteristics in datastore  124  within the template database  134 . 
     Again, the system can be comprised of a computer system being responsive to a program operating therein. The programmed computer system comprises image enhancer  220 , zone mapper  226 , zone OCR  232 , and pattern mapper  238 . This is indicated by the dashed line box  250  in FIG.  2 . In FIG. 3, an illustration of a computer screen  300  of a computer that has been programmed to provide the functionality of data extraction system  100  and master document image production system  200  is shown. In the three windows are shown the processes used in the two systems. In window  310  is shown the beginning of the data extraction process performed by system  100 . Three tiled windows  312 ,  314 , and  316  are shown in this window. Window  312  includes a thumbnail image  313 A of the raw image and database information  313 B. Window  314  contains a larger version of the raw image. Window  316  provides the extracted image. Windows  320  and  330  are used in the master document image production system  200 . Window  320  is used to create the pattern and is shown having two currently empty tiled windows  322  and  324 . Windows  322  and  324  display the extracted image and the template imager, respectively. Window  330  is shown having three cascaded windows  332 ,  334 ,  336  that display the raw image, the enhanced image or straight image, and the master document image, respectively. 
     Master Document Image, Template, Zone and Pattern Creation Process 
     The following process creates the master document that is used to start the data extraction process. In the computer, the screen shown in FIG. 3 is presented to the user. The icons starting at the top and continuing down the left side of the screen are: 
     FORM MASTER DESIGN,  340   
     CREATE ERASE ZONES,  342   
     ERASE HIGHLIGHTED AREA,  344   
     PREPROCESS SETTINGS,  346   
     IMAGE ENHANCEMENT SETTINGS,  348   
     DRAW DATA ZONES,  350   
     DRAW MARK SENSE ZONES,  352   
     PROCESS IMAGES,  354   
     The icons starting at the top of the screen, going across the top from the left, are: 
     FORM MASTER DESIGN,  340   
     PATTERN DESIGN SCREEN,  362   
     CREATE NEW TABLE FILE,  364   
     OPEN TABLE FILE,  366   
     CREATE NEW PATTERN,  368   
     OPEN PATTERN,  370   
     SAVE,  372   
     PRINT,  374   
     PRINT PREVIEW,  376   
     ZOOM IN,  378   
     ZOOM OUT,  380   
     SHOW IMAGE PIXEL BY PIXEL,  382   
     DOCUMENT PROPERTIES,  384   
     DELETE,  386   
     The icons on the right side of the screen starting at the top and going down are: 
     CREATE OCR ZONES,  390   
     ADD OCR ZONES HORIZONTALLY,  391   
     GROUP OCR ZONES VERTICALLY,  392   
     UNGROUP OCR ZONES,  393   
     PERFORM OCR ON IMAGE,  394   
     ZONE PROPERTIES,  395   
     SHOW INVISIBLE CHARACTERS,  396   
     SELECT DATA,  397   
     TEST DATA CAPTURE,  398   
     Associated with each of these icons is a software program or routine that will perform the indicated function and will be run when the icon is selected or clicked on by the user. 
     The first step in process to create a master document creates a table file for the master image by having the user click on the icon CREATE NEW TABLE FILE. In response to that user action, screen image  401  shown in FIG. 4A appears. As shown there, the user enters a file name in box  403 . After clicking OPEN button  413 , screen image  405 , shown in FIG. 4B, appears, prompting the user to select an image to be used as the master document. Box  409  presents a list of images  407 . The user highlights a particular image of interest, in this case, the file baringtonl. tif,  411 , using that image as the master document. The system presents screen  420  shown in FIG. 4C to the user in response to clicking on OPEN button  413 . The user is prompted at  421  to give the new master document file a name which is entered in box  422 . After entering a master document name, the user clicks on OK button  424  to save the new master document under the name entered in box  422 . Alternatively, an existing table file can be used in which case the user clicks on icon OPEN TABLE FILE  366 . As a result of that action, a screen image (not shown) similar to that shown in FIG. 4A appears listing the current table files. The user highlights the desired file and double clicks on it to open it or clicks on the OPEN button. 
     In looking at the screens presented to the user in FIGS. 4A-4C, these screens are creating a table file, then opening a master document image file or, as shown there, opening a new image to create a master document image file. After the naming and creating of the master document image file, the user receives the raw image of the scanned document that is used to create the master document image. This raw image can be seen in FIG.  5 A. 
     In FIG. 5A, a copy of an invoice  500  containing data is shown. Invoice  500  is used to create master document image  550  shown in FIG.  5 B. On invoice  500  shown in FIG. 5A are various regions such as, SHIP TO region  501 , SHIP TO ACCOUNTS region  502 , SOLD TO region  503 , REMIT TO region  504 , PAYMENT TERMS region  505 , INVOICE DATE and INVOICE NUMBER regions  506 ,  507 , QUANTITY column region  508 , UNITS PER CASE column region  509 , CATALOG NUMBER column region  510 , PRODUCT DESCRIPTION column region  511 , SIZE column region  512 , UNIT PRICE column region  513 , AMOUNT column region  514 , TOTAL region  515 , regions presenting information are helpful text such as regions  516 ,  517 , SOLD TO ACCOUNT NO. region  518 , and CUSTOMER PURCHASE ORDER NUMBER region  519 . Also, numerous horizontal lines  520  and vertical lines  521  on the form indicate the various regions. Printer&#39;s mark  522  and speckling  523  are also visible. Variable data is shown entered in most of the regions described. 
     Raw image  500  is straightened and enhanced and data is removed from it to create the master document image  550 . Before the raw image can be used, system deskews and registers the scanned image. Sometimes when a document is fed into a scanner, it is slightly crooked or skewed. The purpose of the deskewing is to straighten the image. Shown in FIG. 6A is menu  601  which allows the user to set the parameters used for straightening the image. To deskew the image, the Deskew Checkbox  605  is checked. Next the Maximum Line Detect Length, and the Maximum Acceptable Skew, both in pixels, are defined, as shown at box  604  and box  603 , respectively. The Maximum Line Detect Length indicates the length in pixels of a vertical line and horizontal line on the form to straighten so that the vertical line is parallel with the side edge of the form and the horizontal line with the top of the form. A length of 300 pixels has been entered. The Maximum Acceptable Skew indicates the amount of allowable image movement, in pixels, to be used to straighten the form. An amount of 150 pixels has been entered. For any movement needed to straighten the image over this amount, the image will need to be re-scanned. The Protect Characters checkbox  602  is checked if it is desired to protect the character images during the deskewing process. This is normally not used. The user sets these parameters and the system deskews the form. 
     Shown in FIG. 6B is menu  610  presenting the options available to the user for the registration of the form. The registration menu  610  indicates the vertical and horizontal lines on the form that, when put together, will make up the form. Registration saves horizontal and vertical line data from the master document image for later use when comparing master document images to the scanned images to be processed. If the saved horizontal and vertical line data, i.e. the registration data, match the scanned image, then that scanned image is considered “recognized”. For the horizontal lines, the user selects from: using Horizontal Register at checkbox  611  and setting a Resultant Left Margin in pixels at box  612 , using a Horizontal Central Focus at checkbox  613 , using a Horizontal Add Only at checkbox  614 , setting a Horizontal Line Register amount in pixels at box  615 , setting a Horizontal Line Register width in pixels at box  616 , setting a Horizontal Line Register Gap in pixels at box  617 , setting a Horizontal Line Register Skip Lines in pixels at box  618  and selecting a Horizontal Ignore Binder Holes at checkbox  619 . Similar options are available for the vertical register. Normally only the Horizontal Register checkbox  611 , the Horizontal Central Focus checkbox  613 , and the Horizontal Add Only at checkbox  614  are checked along with the corresponding vertical counterparts. Also the Resultant Left Margin at box  612  and the Resultant Upper Margin at  612 B are set to 150 pixels. 
     Horizontal Register checkbox  611  is checked and indicates that horizontal registration is used. Resultant Left Margin box  612  defines an area in pixels from the edge of the form inward where no data or lines will be found. This space is considered white space and any data found is considered noise. Horizontal Central Focus checkbox  613  is checked and indicates that the form is centered on the page. Registration is performed using the middle portion of the image border. Horizontal Add Only checkbox  614  is checked and means that white space will be added to the horizontal margins if it is less than the resultant margin specified. Horizontal Line Register box  615  specifies the length of horizontal lines, in pixels, to register. A value of zero will cause automatic horizontal line registration. Horizontal Line Register Width box  616  indicates the width, in pixels, of a horizontal line to be registered. A value of zero will cause automatic horizontal line width registration. Horizontal Line Register Gap box  617  indicates that any broken lines with a gap equal to or less than the specified amount is really the same line. The amount of the gap in pixels is entered. Here the gap amount is 8 pixels. Horizontal Line Register Skip Lines box  618  indicates the number of lines to skip from the left margin inward before registering horizontal lines. Horizontal Line Ignore Binder Holes checkbox  619 , when checked, allows holes to be ignored. For example, if the scanned image has binder holes, such as a three-ring binder, then these holes will be ignored during registration. 
     Vertical Register checkbox  611 B indicates vertical registration will be used. Resultant Upper Margin box  612 B defines an area in pixels from the top of the form downward where no data or lines will be found. This space will be considered white space and any data found is considered noise. Vertical Central Focus checkbox  613 B indicates that the form is centered on the page. Registration is performed using the middle portion of the image border. Vertical Add Only checkbox  614 B, when checked, adds white space to the vertical margins if it is less than the resultant margin specified. Vertical Line Register  615 B box specifies the length, in pixels, of vertical lines to register. A value of zero will cause automatic vertical line registration. Vertical Line Register Width box  616 B indicates the width, in pixels, of vertical lines to register. A value of zero will cause automatic vertical line width registration. Vertical Line Register Gap box  617 B indicates that any broken lines with a gap, as specified in pixels, is really the same line. Here a zero value has been entered. Vertical Line Register Skip Lines box  618 B indicates the number of lines to skip from the left margin inward before registering vertical lines. 
     Shown in FIG. 6C is Line Management menu  620  that the system presents to the user for dealing with line management in the master document image. This screen contains the various form enhancement features. Enhancement features perform various operations on the image and data in the image. For example, noise removal will remove any black specks which may appear on the image due to the scanning process. This feature is used to remove as much non-data information as possible. If the image is relatively clean, then the only property menu necessary to use is Line Management menu  620 , shown in FIG. 6C, that removes the lines on the form. By selecting the Horizontal Line Management checkbox  621 , line management is enabled for horizontal lines. A similar check box is provided for enabling vertical line management. The Horizontal Minimum Line Length box  622  specifies in pixels the length of horizontal lines to remove. A setting of  50  pixels is shown. The Horizontal Maximum Line Width box  623  specifies the maximum thickness in pixels of horizontal lines. A value of 5 pixels is shown. The Horizontal Maximum Line Gap box  624  sets the number of pixels that can exist between the end of a line segment and the start of the next line segment for those segments to be considered to be the same line. A gap value of 8 pixels has been set. An example is a dashed line. The Horizontal Clean Width box  625  sets the number of pixels between a line and a character of data. Here are value of 2 pixels has been entered. The Horizontal Reconstruction Width box  626  is used when a character is on a line. When the line is removed, the program will reconstruct the character to have this number of pixels in width. A value of 8 has been selected. The Horizontal Reporting checkbox  627  is checked if this feature is wanted. Horizontal reporting will generate a report in pixels of lines found in the document. Similar functionality is provided for vertical line management which has also been selected at indicated at checkbox  621 B. 
     Other enhancement properties available for selection are found on Fix White Text menu  630 , Image Orientation menu  640 , Image Enhancements menu  650 , Noise Removal menu  660 , Character Enhancements menu  680 , and Image Extraction menu  690  illustrated in FIGS. 6D-6I, respectively. In Fix White Text Menu  630  shown in FIG. 6D are provided Fix White Test check box  631  and Inverse Report Location check box  632 . Also provided are Minimum Area Height box  633 , Minimum Area Width box  634 , and Minimum Black on Edges box  635  into each of which of these boxes a pixel value would be entered. Fix White Text checkbox  631  enables the system to detect white text. White text is created by white letters on a black background. Minimum Area Height box  633  specifies in pixels the height of the white characters. Minimum Area Width box  634  specifies in pixels the width of the character formed in the black background. Minimum Black on Edges box  635  specifies in pixels the minimum height of the black background. Inverse Report Location checkbox  632 , when checked, generates a report of the position, in pixels, of the white text. 
     In FIG. 6E, Image Orientation menu  640  provides three checkboxes, Auto Portrait  641 , Auto Upright  642 , Auto Revert  643  in addition to selection boxes Turn Image Before Processing  644  and Turn Image After Processing  645 . If Auto Portrait checkbox  641  is checked, when a landscape-oriented form is feed in the scanner, this option will rotate the image 90 degrees so the image can be read on the computer screen without turning the screen. If Auto Upright checkbox  642  is checked, when a form is feed upside-down in the scanner, this option will rotate the image 180 degrees so the image can be read on the computer screen. When Auto Revert checkbox  643  is checked if the image was rotated in order for it to be read on the screen, then the Auto Revert function will cause the system to store a copy of the original image before the rotation, as well as, the rotated copy. 
     In Image Enhancements menu  650  of FIG. 6F, six value boxes are provided. These are Magnify Image Width  651 , Magnify Image Height  652 , Drop the Top of the Image  653 , Crop the Bottom of the Image  654 , Crop the Left Side of the Image  655 , Crop the Right Side of the Image  656 . In boxes  651  and  652 , the number or value entered would be the percentage of magnification. In boxes  653  through  656 , the value entered would be the amount of pixels to crop the various portion of the image. In addition, a Crop Black checkbox  657  and a Crop White checkbox  658  are provided. Standard forms are typically 8.5 inches wide by 11 inches high, forms smaller in size say 4 inches wide by 1.5 inches wide can be magnified using Magnify Image Width box  651 . The magnification of the width of the image is specified in pixels. Similarly, the magnification of the height of the image can be specified in pixels by entering a value in the Magnify Image Height box  652 . Entering a value in pixel in the Crop the Top of the Image box  653  specifies the length from the top of the form down that is to be removed from the image. Similarly, Crop the Bottom of the Image box  654  specifies, in pixels, the length from the bottom of the form up to remove from the image. Crop the Left Side of the Image box  655  specifies in pixels the length from the left side of the form to the right to remove from the image. Crop the Right Side of the Image box  656  specifies in pixels the length from the right of the form to the left to remove from the image. Crop Black checkbox  657 , when checked, removes the black space from around the outer edges of the scanned image. Crop White checkbox  658 , when checked, will remove the white space from around the outer edges of the scanned image. 
     In FIG. 6G, Noise Removal menu  660  is illustrated. Four despeckle boxes are provided. These are Horizontal Despeck box  661 , Vertical Despeck box  662 , Isolated Despeck box  663 , Isolated Despeck Width  664 . The values as set in these boxes are in pixels and indicate the size of the speckling that will be removed. Dot Shading occurs when black characters are placed on a gray shaded area. Laser printers often create gray shaded areas by speckling the area with toner. OCR engines have a difficult time recognizing the black characters on this gray background. Dot Shading Removal Checkbox  665 , when checked, removes gray shaded areas from the image. Minimum Area Despeck Height box  666  and Minimum Area Despeck Width box  667  specify, in pixels, the height and width, respectively, of gray shaded areas. Maximum Speck Size box  668  specifies in pixels the width of the gray shaded specks. Horizontal Size Adjustment box  669  and Vertical Size Adjustment box  671  specify in pixels the width and height, respectively of the adjustment of the Maximum Speck Size to ensure successful removal of gray specks. Character Protection box  672 , when enabled, does not remove specks that touch characters since this will remove part of the character. Despeck Report Location checkbox  673 , when checked, provides a report of the location(s) of the gray shaded areas removed. 
     In FIG. 6H, Character Enhancements menu  680  is illustrated. Provided in this menu are three value boxes, Character Smoothing  681 , Grow  682  and Erode  683 . Character Smoothing box  681  specifies the width, in pixels, of the characters in the enhanced image. Any pits or bumps are removed from the character. Grow box  682  specifies the amount, in pixels, which the width of characters are to be enlarged while Erode box  683  specifies the amount, in pixels, which the width of characters are to be reduced. 
     In FIG. 6I, Image Extraction menu  690  is shown. Provided in this menu is Sub Image checkbox  691 . When this box is checked, a sub-image will be extracted from the image. Also provided are five value boxes Sub Image Top Edge  692 , Sub Image Bottom Edge  693 , Sub Image Left Edge  694 , Sub Image Right Edge  695  and Sub Image Pad Border  696 . Into each of these boxes, a value in pixels will be provided and determines the following: 
     Sub Image Top Edge specifies the number of pixels down from top of the image to begin extracting the sub-image; 
     Sub Image Bottom Edge specifies the number of pixels down from the top of the image to stop extracting the sub image; 
     Sub Image Left Edge specifies the number of pixels from the left edge of the image to begin extracting the sub-image; and 
     Sub Image Right Edge specifies the number of pixels from the left edge of the image to stop extracting the sub image. 
     Software which performs these image enhancements shown in FIGS. 6A-6I is well known in the art. One such software package which provides image enhancement is FormFix available from TMS Sequoia of 206 West 6th Avenue, Stillwater, Okla. 74074, world wide web address: www.tmsinc.com. 
     After the various enhancement settings have been selected by the user, the next step creates erase zones on the images. By clicking on CREATE ERASE ZONES icon  340 , the user selects and defines areas of the image which will be erased when the ERASE HIGHLIGHTED AREA icon  344  is clicked on or if the user presses the DELETE key on the computer keyboard. This is illustrated in FIG. 7 where erase zones are shown on a raw image. The erase zones remove data from the form to create a blank form. These zones can be created by the user on any of the images, the raw image, the straight image or the master document image and will remove the data contained in the zone on all three images. This is by-passed if a blank form is available to be scanned in. Otherwise, a blank form will need to be created. Shown in screen  701  is raw image  703 . Erase zones  705  have been selected and the data contained therein will be erased from image  703 . Shown in FIG. 8 is screen  801  having three tiled windows  803 ,  805 ,  807  displaying raw image  811 , straightened or enhanced image  813 , and master document image  815 , respectively. The unwanted data has been removed from all three images. Once the unwanted data has been removed, the master document image has been created. Data which is to be used to define the patterns used for data extraction is typically not deleted at this step in the process. It will be understood that the user can perform these steps in various orders or at different times during the process of creating a master document image. 
     Data zones are drawn on the enhanced image by clicking on the DRAW DATA ZONES icon  350  and then selecting a zone using the mouse. Shown in FIG. 9 is screen  901  displaying three tiled windows  903 ,  905 ,  907  containing raw image  913 , straight image  915  and master image  917 , respectively. Window  905  is the active window as indicated by scroll bar  921 . After clicking on DRAW DATA ZONES icon  350 , the user selects data zones  931  on image  915  that contain data that the user wants to extract and store in a database. The selected data zones  931  are highlighted on the screen. The character images contained in these data zones are optically read and saved in a data file for each data zone as described in the following paragraph. These data zones define the template that is to used with this master document image. Once the data zone information has been saved, master document image  917  can be further enhanced (lines removed and specs removed, etc.) as described previously and stored in the table file in the master document image database  128 . 
     After or during the creation of the master document image, the user creates the unique character pattern used with each data zone that has been created. Shown in FIG. 10 is an illustration of screen  1000  used for the creation of a pattern. Here, the user creates data templates and assigns the data to fields in the database. For instance, phone numbers and social security numbers are easy patterns to create. A phone number used in the United States has a distinct pattern of three numbers then a dash, period or space followed by three numbers and a dash, period or space followed by four numbers. A social security number has a pattern of three numbers, a dash, two numbers, a dash and then four numbers. The patterns are defined within the data so that the pattern can be detected and then the data extracted. Unlike other forms of document image processing systems, the data extracted is recognized using these character patterns rather than by the using graphic position or pixel location of the data within the image. 
     In FIG. 10 the pattern design process displays several windows. Three windows  1003 ,  1005 ,  1007  are shown overlaying window  1009  that contains thumbnail image  1011  of the master document image. In window  1003  is shown pattern image  1015 . The top right window  1007  is an OCR window and beneath that in window  1005  is the data template pattern design window for the database. In window  1003 , by using the various OCR icons  390 - 393  previously described, the user creates OCR zones  1021 ,  1023 ,  1025   1027  around the data that is to be captured. These zones are indicated by the rectangles in pattern image  1015 . Once the OCR zones have been created, the user clicks on PERFORM OCR ON IMAGE icon  394 . The OCRed data zones, when highlighted, appear in the upper right OCR window  1007 . OCR zone  1021  in image  1015  is highlighted and the data shown in OCR window  1007  are the characters “Jun. 28, 1998, 1110” which comprise the INVOICE DATE and the INVOICE NUMBER regions. The OCR window  1007  highlights the particular characters that make up a particular data pattern. In order to capture this information from a scanned image, the user creates a new data template or selects and open an existing data template. Selecting either NEW button  1031  or LIST  1033  button shown in window  1005  accomplishes this. Pressing NEW button  1031  displays a screen prompting the user to enter a name for the new data template which then appears in box  1035 . Pressing LIST button  1033  displays a list of existing data templates for selection by the user. A database is selected by entering its name in box  1037  or a new database is created by selecting button  1039 . After the template and database have been named and selected, window  1005  will display the selected data template or, in the case of a new template, will display a default data template for the selected database. 
     In order to create a pattern, the user selects SHOW INVISIBLE CHARACTERS icon  396  to display hidden characters that help to identify and create a pattern for the selected OCR zone. The hidden characters are ASCII control characters and appear typically as white space in the image. These hidden characters are shown in FIG. 11 in window  1007  of screen  1100 . Window  1105  is the expanded version of window  1005  and OCR window  1107  is the expanded version of window  1007 . As can be seen in the image for the INVOICE DATE and INVOICE NUMBER regions, there are three ASCII line feed characters (&lt;LF&gt;) and the ASCII tab (&lt;TAB&gt;) character that can be used to form part of the pattern. In this case, the two initial line feed characters are not used and the pattern is defined to begin with the line feed and TAB characters occurring just prior to the beginning of the date information. The character sequence defining the pattern appears underlined in window  1107 . Data template  1150  has the appearance of a table and is comprised of a variable number of data segments  1152 - 1160  appearing as columns. The actual data appears at the head of each column with the remaining rows in each column providing characteristics associated with that particular data segment. Each character or group of characters in a data segment is selected and dragged from window  1107  and dropped into a data segment in data template  1150  shown in window  1105 . In data segment  1152  the line feed character &lt;LF&gt; is shown inserted in the row designated ACTUAL DATA. In data segment  1154  the TAB character is inserted. In data segment  1156  the date information is inserted. In data segment  1158  the TAB character is inserted and in data segment  1160  the invoice number is inserted. The last character used in the data pattern, a line feed character is inserted in the last data segment which is not shown in this view of the window  1105 . In order to obtain more segments for the entry of data, scroll buttons  1109  at the bottom of window  1105  are used to scroll the template to the left or right as indicated by the arrowheads. In this case, by scrolling the data template to the left, an additional data segment is available to insert the final line feed character of the pattern. 
     For each data segment that is entered into the data template, the system directs the user to select and complete the following options: Capture Data, Data Type, Data Format, Element Length, Table Name, Field Name, Field Type, Field Length and Validation. By using the vertical scroll buttons  1111 , these last two characteristics can be brought into view. The characteristic Capture Data indicates whether or not to store the data in the database. Data Type indicates the type of data such as a constant, date, date separator, number and text. Data Format indicates the type of format used for the data in that data segment such as a date having the format MM/DD/YY. 
     Element Length indicates how many visible characters comprise the data. For fixed length data, a number is entered. For variable length data either “Zero or one time” or “Zero or more times” or “One or more times” is entered. “Zero or one time” indicates length of the data may not exist and if it does will be of fixed length as indicated in field length. “Zero or more times” indicates that the data may not exist but if it does will be of variable length. “One or more times” indicates that the data will exist and will be of variable length. Table Name is the name of the database table in which this data template will be stored. Field Name is the name of the data field to store the data in table. Field Type is the database field type as required by the database definition, such as integer, decimal, character, etc. Field Length is the size of the field as required by the database definition, usually the number of bytes or characters. Validation is used to indicate is the data is to be validated by an operator before being committed to the database. 
     The line feed character in data segment  1152  has the following characteristics: Capture Data=No, Data Type=Data Separator, and Data Format=Linefeed. The other characteristics are blank. The data in this segment is not stored. For data segment  1154 , the TAB character characteristics are: Capture Data=No, Data Type=Data Separator, and Data Format=TAB. The remaining characteristics are blank. Again the data in this segment is not stored. For the date data in segment  1156  its characteristics are: Capture Data=Yes, Data Type=Date, Data Format=MM/DD/YY, Element Length=8, Table Name=InvoiceHeader, Field Name=INV_DATE, Field Type=Date/Time, Field Length=Blank, and Validation=None. The information for Field Length and Validation cannot be seen on this screen and will need to scrolled into view. This data is stored in the database in the data field INV-DATE. For data segment  1158  the characteristics for the TAB character are the same as that given for data segment  1154 . For the last element shown which is the invoice number, Capture Data=Yes, Data Type=Number, Data Format=Integer, Element Length=One or More Times, Table Name=InvoiceHeader, and Field Name=INV_DATE. To see the remainder of the pattern, the user scrolls the template to the left. Thus, for the OCR data shown in OCR window  1107 , the pattern of visible and invisible characters that will be associated with this particular zone is: 
     &lt;LF&gt;, &lt;TAB&gt;,&lt;MM/DD/YY&gt;, &lt;TAB&gt;, &lt;Variable Length Number&gt;, &lt;LF&gt;. 
     and only the third and fifth data segments of the pattern are stored in the database. 
     To see if this pattern performs properly with the image containing the information, the user selects TEST DATA CAPTURE icon  398 . Shown in FIG. 12 is screen  1201  that displays the captured test data. Displayed in screen  1201  are the name of the data template used at  1203 , the database name at  1203 , and a table  1207  comprised of the following columns: Table Name  1209 , Field Name  1211 , and Actual Data  1213 . As seen in screen  12 , the two data fields, INV_DATE  1215  and INV_NUMBER  1217  are populated with the data “Jun. 28, 1998” and “1110,” respectively, extracted from data using the pattern set out at the end of the previous paragraph. The system stores the data in the “Barrington.MDB” database and in the table labeled “InvoiceHeader.” 
     For each zone on the template associated with a master document image, a data template pattern is created. In addition, alternate zones having a different data template pattern can be created for the identical region on a master document image. This allows for different data formats to be recognized within a given document image. Examples of alternate patterns can be seen by reference to FIGS. 13A and 13B. As shown in these figures, two different address zone patterns are used. In FIG. 13A, the first line  1301  of the pattern comprises the following characters: 
     &lt;TAB&gt;&lt;TAB&gt;&lt;First Name one to twenty alpha characters in length&gt;&lt;SPACE&gt;&lt;Last Name one to twenty alpha characters in length&gt;&lt;LF&gt;&lt;CR&gt;. 
     The second line of the pattern comprises: 
     &lt;TAB&gt;&lt;TAB&gt;&lt;Street Number one to ten alphanumeric characters in length&gt; 
     &lt;SPACE&gt;&lt;Street Name one to twenty alphanumeric characters in length&gt;&lt;LF&gt;&lt;CR&gt;. 
     The third line of the pattern comprises: 
     &lt;TAB&gt;&lt;TAB&gt;&lt;City one to twenty alpha characters in length&gt;&lt;SPACE&gt; 
     &lt;State Code two alphanumeric characters in length&gt;&lt;SPACE&gt;&lt;Postal Code one to sixteen alphanumeric characters in length&gt;&lt;LF&gt;&lt;CR&gt;. 
     Shown in FIG. 13B is a variation of the address pattern shown in FIG.  13 A. Only the first line of the address zone pattern has changed. As shown in FIG. 13B, the first line  1301 A of the pattern now consists of the following: 
     &lt;TAB&gt;&lt;TAB&gt;&lt;First Name one to twenty alpha characters in length&gt;&lt;SPACE&gt; 
     &lt;Middle Initial one to two alpha characters in length&gt;&lt;SPACE&gt;&lt;Last Name one to twenty alpha characters in length&gt;&lt;LF&gt;&lt;CR&gt;. 
     Once the zones and patterns and template have been defmed for the master document image, the process of extracting the data from scan images based on that master document image can be undertaken. 
     A master document image created using the master document image production system  200  and the above described process is shown in FIG. 5B, master document image  550 . As shown in FIG. 5B, the following regions remain on the master document image: SHIP TO  501 , SHIP TO ACCOUNT NO. region  502 , SOLD TO  503 , PAYMENT TERMS  505 , INVOICE DATE  506 , INVOICE NUMBER  507 , QUANTITY  508 , CATALOG NUMBER  509 , PRODUCT DESCRIPTION  510 , UNIT PRICE  513 , AMOUNT  514 , TOTAL  515 , SOLD TO ACCOUNT NO.  518 , and CUSTOMER PURCHASE ORDER NUMBER  519 , each region defining a zone having at least one associated pattern for capturing data to be stored in the database. In addition, textural information regions  516 ,  517  have been removed from master document image  550 . While all vertical and horizontal lines with the exception of the broad horizontal line across the top of master document image  550  have been deleted, it is not necessary to do so. Any various combinations of lines and other information can be left on or deleted depending the choice of the operator creating the master document image. As seen in FIG. 5B, all the variable data contained in the remaining regions has been removed. In addition, the variable data in the other regions has also been removed from the form to create master document image  550 . Prior to the removal of the information contained in the different zones to be used in the master, the data was used to establish the patterns that are associated with each of the zones that are used with the template that is associated with this master document image. 
     Data Extraction Process 
     A flow diagram of the data extraction process  1400  is illustrated in FIGS. 14A and 14B. At step  1401  the process either creates or receives an image file of the document from which data is to be extracted is created. This image file can be created through the use of scanner or other means which will create the digital image of the document. The file format can be any graphical format such as a TIF format, JPEG format, a bit map image, a Windows metafile etc. At step  1403 , the system selects a master document image from the master document image database. Alternatively, an operator can also select the master document or a bar code can be provided on the scanned image which can be used to automatically select the appropriate master document image. At step  1405 , the system compares the selected master document image to the scanned image. At step  1407 , it is determined whether or not a match has been found. Matches are determined using the stored registration data. If the horizontal and vertical line data of the scanned image match the saved vertical and horizontal registration data, a match has occurred. If no match has been found, the process proceeds to step  1409  where it is determined whether or not the last master document image available for use has been used in the process. If it has not, the process proceeds to step  1411  where the next master document in the master document image database is selected. The process then proceeds back to step  1405  for the comparison. Assuming at this point no match is found, the process then proceeds again to step  1409  and assuming for purposes of illustration that no further master document images remain to be compared, the process proceeds to step  1413 . At step  1413  the system tags the document image as an undefined file. Thereafter, at step  1415 , a decision is made whether or not to create a new master document image from the image tagged as being an undefined file. If the decision is not to create a new master document image, the process proceeds to step  1417  and the system deletes the tagged image file. If the decision is made to create a new master document image, the process proceeds to step  1419  at which point the system proceeds with the process previously described for the creation of a master document using the master document image production system. Briefly, the variable data is removed from the image and templates, zones and patterns and database records are defined for the document image. The process then proceeds to step  1421  where the system stores the new master document image in the master document image database. The process then proceeds to step  1405  where this new image is available for the selection and comparison performed at step  1405 . 
     At step  1407 , assuming that a match has been found between a master document image and the scanned document image, the process proceeds to step  1423  where the system retrieves templates for the matched master document image and OCRs the image using the retrieved templates to create an ASCII data file for each zone. Next, at step  1425  the system selects a zone, and, using on the pattern associated with that zone, the ASCII data file for that zone is searched. At step  1427  a determination is made of whether or not a pattern match has been found in the data file. If a pattern match has been found, the process proceeds to step  1429  where the system parses and extracts the data contained within the zone based on the associated pattern and the database record associated with the pattern will be populated with the extracted data. Next at step  1431  a decision is made whether or not data validation is required. If not, the process proceeds to step  1433  where the system stores extracted data that is to be captured in the database table of the designated database. Next at step  1435  a decision is made whether or not any zones are left to search. If no more zones are left to search, the process proceeds to step  1437  where a decision is made whether or not any additional images are left to be processed. If no images are remaining to be processed, the process proceeds to step  1439  where it ends. 
     At step  1435 , if it is determined additional zones are left to search, the process proceeds back to step  1425  where the system selects the next zone to be search. The loop continues until no further zones are left to be searched. At step  1437 , if additional images are remaining to be processed, the process proceeds to step  1441 , where the next digital image to be processed is selected. The process then proceeds back to step  1403  where the new image that has been selected is then be processed. 
     Back at step  1427 , where it was determined whether or not a match was found for the pattern in the zone, if it has been determined that no match was found, the process then proceeds to step  1443  where a decision is made whether or not alternate zones (patterns) are available. If alternate zones are available, the process proceeds to step  1445  where the system selects the next available alternate zone. The process proceeds back to step  1425  to undergo the search using the new alternate zone and its associated pattern. At step  1443 , if no alternate zones are available, the process proceeds to step  1447  where a validation file is created with the data from the scanned document. Also, at step  1431  if the captured data required validation, the process also proceeds to step  1447  for the creation of a validation file. After a validation file has been created, the process proceeds to step  1449  where an operator reviews the validation file. Next, at step  1451 , it is determined whether or not the data is to be validated or corrected. If the data is not correctable, the process proceeds to step  1453  where the operator marks the data field with an error indicator. The process then proceeds to step  1433  for continuation. At step  1451 , if it is determined that that data is to be validated or is correctable, the process proceeds to step  1455  where the operator enters either the validated data or the corrected data into the database record. The process then proceeds again back to step  1433 . Steps  1447 - 1455  can be performed during the data extraction process or can be performed at a later time. 
     Other embodiments of the invention will be apparent to those skilled in the art from a consideration of the specification or from practice of the invention disclosed herein. It is intended that the specification be considered as exemplary only with the scope and spirit of the present invention being indicated by the following claims.