Source: https://patents.google.com/patent/JP6000992B2/en
Timestamp: 2019-10-13 23:26:50
Document Index: 145708407

Matched Legal Cases: ['art 11', 'art 11', 'art 11', 'art 11', 'art 11', 'art 11']

JP6000992B2 - Document file generation apparatus and document file generation method - Google Patents
Document file generation apparatus and document file generation method Download PDF
JP6000992B2
JP6000992B2 JP2014011223A JP2014011223A JP6000992B2 JP 6000992 B2 JP6000992 B2 JP 6000992B2 JP 2014011223 A JP2014011223 A JP 2014011223A JP 2014011223 A JP2014011223 A JP 2014011223A JP 6000992 B2 JP6000992 B2 JP 6000992B2
JP2014011223A
JP2015138496A (en
元規 平塚
2014-01-24 Application filed by 京セラドキュメントソリューションズ株式会社 filed Critical 京セラドキュメントソリューションズ株式会社
2014-01-24 Priority to JP2014011223A priority Critical patent/JP6000992B2/en
2015-07-30 Publication of JP2015138496A publication Critical patent/JP2015138496A/en
2016-10-05 Publication of JP6000992B2 publication Critical patent/JP6000992B2/en
The present invention relates to a document file generation apparatus and a document file generation method for converting a character image of a document obtained by character recognition into data and generating a document file of, for example, a PDF (Portable Document Format) format.
There is a PDF (Portable Document Format) format as one type of electronic document standard. In a PDF format file (hereinafter referred to as a PDF file), font information used in a document can be embedded in the PFD file itself. Therefore, the PFD file in which the font is embedded can be drawn (displayed or printed) as intended by the creator using the font embedded in the document even in an environment other than the environment in which the font is created.
In PDF, a high compression method is used in order to reduce the file size when digitizing a document. In this method, each object such as characters and graphics included in an image is identified by an image layer (image layer), and image processing and image compression are performed according to the object included in each image layer. As a result, high image quality and high compression are achieved at the same time.
By the way, vectorization of a character image is mentioned as one of the means for drawing a character image finely and finely drawn by PDF. However, when a character image is vectorized, it is necessary to describe the rendering processing of the vectorized font data on the PDF file, which is larger than the text data.
In order to solve such a problem, for example, it is conceivable to apply a document creation method disclosed in Patent Document 1. That is, in Patent Document 1, a font name and a threshold value of the number of points (that is, size), which serve as a reference for embedding a font in a document file, are input as a table and used from the original data to be processed. If the font name and the number of points are acquired and the font name used in the original data is registered in the table, the point number in the original data is compared with the point number threshold in the table, and the threshold If there is a character with a point larger than that, a document creation method is proposed in which it is decided to embed the font.
JP2005-063052
In the above-mentioned Patent Document 1, when creating document information that can include font information, not only the name of the font but also the number of points (that is, the size) of the font is created. The size of the document file can be reduced.
However, if the number of points is given for each font, a pattern for each font is required, and the file size increases as the number of registered fonts increases.
The present invention has been made in view of such circumstances, and a document file generation apparatus and a document file generation capable of generating a document file for finely rendering an image without increasing the file size. It aims to provide a method.
A document file generation apparatus according to the present invention is a document file generation apparatus that generates a document file obtained by converting character images of a document obtained by character recognition into data, the vectorization means for vectorizing the character images, and the vectorization Vectorization processing control means for controlling vectorization processing by the means, wherein the vectorization processing control means sets the number of characters and the character size of the character image at a first stage before the vectorization processing is started. The size of the first file is calculated, and in the second stage during the execution of the vectorization process, the character coordinates obtained by the character recognition are compared with the character coordinates included in the vectorized data. The size of the second file is calculated based on the number of characters and the character size of the extracted character image, and after the vectorization process is completed In a third step, a size of a third file based on the number of characters of the character image and the vectorized data is calculated, and in the first step to the third step, the sizes of the first to third files are When it is smaller than the size of the original file, a vectorized file in which the data vectorized by the vectorizing means is written is generated.
The vectorization processing control means includes a counting means for counting the character images of the document obtained by the character recognition for each character image, and a file size calculation comparing means for calculating and comparing the file size. Image processing means for generating the vectorized file or the document file, and the file size calculation comparing means is a first step of multiplying the number of characters of the character image by each character image size in the first step. The file size is calculated, and in the second step, the target character is extracted by collating the character coordinates obtained by the character recognition with the character coordinates included in the vectorized data, and the number of characters in the character image is extracted. has been to calculate the size of the second file obtained by multiplying the size of the font characters that in the third stage, characters of the character image The size of the third file is calculated by multiplying the vectorized data by the data of the vectorization, and the size of the first to third files and the original in any of the first stage, the second stage, or the third stage If the size of the first to third files is smaller than the size of the original file in the first to third stages, the image processing means compares the file size of the vectorized file. If the size of the first to third files is larger than the size of the document file in any of the first stage, the second stage, or the third stage, the subsequent processing is interrupted, A document file according to the file format of the original file is generated.
The file size calculation comparing means calculates the average character obtained by averaging the size of each character image to the total number of characters counted by the counting means when calculating the size of the first file. It is characterized by multiplying the image size.
Further, the image processing means registers vectorized data of a character image that matches by matching character coordinates obtained by the character recognition with character coordinates included in the vectorized data in a font dictionary, and the registered vector The vectorized file is generated using the digitized data.
The image processing means registers vectorized data of a character image that matches a feature amount obtained from a character image pattern obtained by the character recognition in a font dictionary, and uses the registered vectorized data to register the vector Generating a digitized file.
In addition, when registration in the font dictionary is performed, registration is not performed for characters that have already been registered.
The document file generation method of the present invention is a document file generation method for generating a document file obtained by converting character images of a document obtained by character recognition into data, the vectorizing means vectorizing the character images, Controlling the vectorization process by the vectorization means by the vectorization process control means, wherein the vectorization process control means at the first stage before the start of the vectorization process, The size of the first file is calculated based on the number of characters and the character size, and the character coordinates obtained by the character recognition and the characters included in the vectorized data in the second stage during the execution of the vectorization process Calculating the size of the second file based on the number of characters and the character size of the character image extracted by collation with the coordinates; In a third stage after the completion of the process, the number of characters of the character image and the size of the third file based on the vectorized data are calculated. In the first to third stages, the first to first stages are calculated. When the size of the third file is smaller than the size of the original file, a vectorized file in which data vectorized by the vectorizing means is written is generated.
Further, the vectorization processing control means counts the character image of the document obtained by the character recognition by the counting means for each character image, and calculates the file size by the file size calculation comparison means. And a step of generating the vectorized file or the document file by the image processing means, and the file size calculation comparing means determines the number of characters of the character image in the first step. calculating a size of the first file obtained by multiplying the character image size, in the second stage, extracting the target character by matching the character coordinates included in the obtained character coordinate and the vectorized data by said character recognition calculates the size of the second file obtained by multiplying the size of the font characters that issued the extract to the number of characters of the character image In the third step, a size of a third file obtained by multiplying the number of characters of the character image by the vectorized data is calculated, and the first step, the second step, or the third step The size of the first to third files is compared with the size of the file of the document, and the image processing means determines that the size of the first to third files is the size of the document in the first to third steps. When the file size is smaller than the file size, the vectorized file is generated, and the size of the first to third files is the size of the document file in any of the first step, the second step, or the third step. If larger, the subsequent processing is interrupted, and a document file is generated in accordance with the file format of the original file.
In the document file generation apparatus and the document file generation method of the present invention, the first file size is calculated based on the number of characters and the character size of the character image in the first stage before the start of the character image vectorization process. In the second stage in which the character image vectorization processing is being executed, the number of characters and the character size of the character image extracted by collating the character coordinates obtained by character recognition with the character coordinates included in the vectorized data are set. Calculating the size of the second file based on it, and calculating the size of the third file based on the number of characters of the character image and the vectorized data in the third stage after the end of the character image vectorization processing; In the first stage to the third stage, when the size of the first to third files is smaller than the size of the document file, the data vectorized by the vectorization means is used. Vectorization file written the data is generated.
Therefore, according to the comparison in the third stage, when the size of the third file is smaller than the size of the document file, the vectorized file into which the vectorized data is written becomes smaller than the size of the document file.
According to the document file generation device and the document file generation method of the present invention, when the size of the third file is smaller than the size of the document file, the vector into which the vectorized data is written is determined in the comparison in the third stage. Since the digitized file is smaller than the size of the document file, a document file for finely and finely rendering an image can be generated without increasing the file size.
It is a figure for demonstrating one Embodiment of the document file production | generation apparatus of this invention. 3 is a flowchart for explaining an outline of a document file generation method by the document file generation apparatus of FIG. 1. It is a figure for demonstrating the outline | summary of the image processing by the document file generation apparatus of FIG. It is a figure for demonstrating the vectorization process using vectorization and OCR (character recognition) in the document file generation apparatus of FIG. It is a figure for demonstrating the vectorization process using vectorization and OCR (character recognition) in the document file generation apparatus of FIG. It is a figure for demonstrating the vectorization process using vectorization and OCR (character recognition) in the document file generation apparatus of FIG. It is a figure for demonstrating the vectorization process using vectorization and OCR (character recognition) in the document file generation apparatus of FIG. It is a figure for demonstrating the vectorization process using vectorization and OCR (character recognition) in the document file generation apparatus of FIG. It is a figure for demonstrating the vectorization process using vectorization and pattern matching in the document file generation apparatus of FIG. It is a figure for demonstrating the vectorization process using vectorization and pattern matching in the document file generation apparatus of FIG.
Hereinafter, an embodiment of a document file generation apparatus of the present invention will be described with reference to FIGS. First, as illustrated in FIG. 1, the document file generation apparatus 10 includes a control unit 11, an operation unit 12, a display unit 13, and a scanner unit 14.
The control unit 11 controls the entire operation of the document file generation apparatus 10 based on a predetermined program in a ROM (not shown), and includes an operation reception unit 11a, an image recognition unit 11b, an image processing unit 11c, and a file size calculation. A comparison unit 11d, a counter 11e, a vectorization unit 11f, and a memory 11g are provided.
The operation accepting unit 11 a accepts an operation related to image processing by the operation unit 12. The image recognition unit 11b performs OCR (Optical Character Reader) of the character image read by the scanner unit 14. That is, the character image read by the scanner unit 14 is specified by collating with a prestored pattern, and data of the specified character image is obtained.
The image processing unit 11c generates a document file in which the data vectorized by the vectorizing unit 11f is written (hereinafter referred to as a vectorized file) or a document file according to the file format of the document 20 described later. The file size calculation comparison unit 11d performs the vectorization process by the vectorization unit 11f before the vectorization process starts by the vectorization unit 11f (first stage), during the execution of the vectorization process by the vectorization unit 11f (second stage). The file size is calculated after each process (third stage). The file size calculation / comparison unit 11d compares the file size calculated in each of the first to third stages with the file size of the document 20 described later. To do.
The counter 11e counts the number (number of characters) for each character recognized by the image recognition unit 11b. The vectorization unit 11f vectorizes the character image recognized by the image recognition unit 11b, and details thereof will be described later. In the memory 11g, a character image read by the scanner unit 14 is stored.
The operation unit 12 is operated when instructing image processing, and is configured by a touch panel, for example. The display unit 13 displays a message for guiding image processing and the like, items for selecting image processing, and the like. The scanner unit 14 optically reads a character image of a later-described document 20 read by an image sensor (not shown).
Next, an overview of image processing will be described with reference to FIGS. 2 and 3. First, the scanner unit 14 executes OCR (character recognition) by reading the document 20 as shown in FIG. 3, for example (step S1). 3 is, for example, a document in which a PDF file (hereinafter referred to as a PDF file) is printed. For convenience of explanation, for example, only a character layer on which character images a to d are displayed is displayed. Show.
That is, as described above, the PDF file has a configuration based on a high compression method in which image processing and image compression are performed in accordance with an object included in an image layer (image layer). Further, it is assumed that the size of the PDF file of the document 20 (the size of the character layer data of the PDF file before drawing) has already been acquired.
In addition, it is assumed that the reading of the document 20 by the scanner unit 14 is performed, for example, one line at a time from the top as shown by arrows. Here, when the document 20 is read, each time a new character image is OCR (character recognition), registration of the recognized character image is performed in the counter 11e (step S2).
That is, when the character image “a” is first recognized, the recognized character image “a” is registered as the a counter 11e-1 of the counter 11e. Subsequently, when the next character image “a” is recognized, the number of characters of the a counter 11e-1 is added. That is, every time the character image “a” is recognized, the number of characters of the a counter 11e-1 is added.
Next, when the character image “b” is recognized, the recognized character image “b” is registered as the b counter 11e-2 of the counter 11e. Subsequently, when the next character image of “b” is recognized, the number of characters of the b counter 11e-2 is added. That is, every time the character image “b” is recognized, the number of characters of the b counter 11e-2 is added.
Next, when the character image “c” is recognized, the recognized character image “c” is registered as the c counter 11e-3 of the counter 11e. Subsequently, when the next character image of “c” is recognized, the number of characters of the c counter 11e-3 is added. That is, every time the character image “c” is recognized, the number of characters of the c counter 11e-3 is added.
Next, when the reading of the document 20 is completed, the file size calculation / comparison unit 11d determines the first character image and the average character image size of the character images of the a counter 11e-1, b counter 11e-2, and c counter 11e-3. The size of one file is calculated (step S3). That is, the size of the first file is calculated by multiplying the average character image size by the total number of characters of the character images added by the respective a counter 11e-1, b counter 11e-2, and c counter 11e-3. .
Here, the reason for using the average character image size is that the character image sizes of “a” to “b” are different. In particular, for example, when comparing hiragana and kanji, the character image size of kanji is often larger. In this case, if the size of the first file is calculated using each character image size, the calculation becomes complicated. However, the size of the first file is calculated by using the average character image size. Becomes easy.
Then, the calculated size of the first file is compared with the size of the character layer of the PDF file (step S4). When the calculated size of the first file is larger than the size of the character layer of the PDF file (step S4: NO), the image processing unit 11c converts the character image into a vector image by the vectorization unit 11f, which is the next process. The migration is interrupted and a normal PFD file is generated (step S5). Here, a normal PDF file has a conventional file format in which font information used in a document can be embedded in the file itself.
Note that the font registered by vectorization is registered after being compressed in the PDF file. Therefore, when calculating the size of the first file, it is necessary to consider the compression rate, but in this embodiment, the minimum compression rate is used. In other words, if a PDF file can be set in four ways, for example, the highest image quality (low compression), high image quality, normal, and low image quality (high compression), the compression rate at the highest image quality (low compression) is used. As a result, the size of the first file is calculated. In this way, by using the compression rate with the highest image quality (low compression), it becomes a fool to generate a document file for finely drawing an image finely.
On the other hand, when the calculated size of the first file is smaller than the size of the character layer of the PDF file (step S4: YES), the vectorization unit 11f performs vectorization of the character image (step S6). That is, vectorization of the character images “a” to “c” added by the a counter 11e-1, b counter 11e-2, and c counter 11e-3 of the counter 11e described above is performed.
Next, for each character image added by the a counter 11e-1, b counter 11e-2, c counter 11e-3 by the image processing unit 11c, character coordinates and vectors obtained by OCR (character recognition). The target character is extracted by comparing with the character coordinates of the converted data (step S7). Incidentally, OCR (character recognition) information obtained by OCR (character recognition) includes character coordinates, character codes, and the like. The vectorized data includes the coordinates (positions) of the start and end points of the line. Therefore, the target character can be extracted by comparing the character coordinates of the vectorized data with the OCR (character recognition) information.
Next, from the font size of the extracted target character by the file size calculation comparison unit 11d and the total number of characters for each character image added by the a counter 11e-1, b counter 11e-2, and c counter 11e-3. The size of the second file is calculated by calculating the size of each character (step S8). Next, the calculated size of the second file is compared with the size of the character layer of the PDF file (step S9).
When the calculated size of the second file is larger than the size of the character layer of the PDF file (step S9: NO), the font replacement process which is the next process is not performed and a normal PDF file is generated by the image processing unit 11c. (Step S5). On the other hand, when the calculated size of the second file is smaller than the size of the character layer of the PDF file (step S9: YES), a font replacement process is executed by the image processing unit 11c (step S10). That is, the vectorized data of each character image by the vectorization unit 11f performed in step S6 is stored in, for example, the memory 11g described above.
Next, the size of the third file is calculated based on the vectorized data stored in the memory 11g by the image processing unit 11c (step S11). The size of the third file can be calculated from the vectorized data stored in the memory 11g and the number of fonts used for file formation.
Then, the calculated size of the third file is compared with the size of the character layer of the PDF file (step S12). Here, when the size of the third file is larger than the size of the character layer of the PDF file (step S12: NO), a vectorized file that is the next process is not generated, and the image processing unit 11c performs normal PDF. A file is generated (step S5).
On the other hand, when the size of the third file is smaller than the size of the character layer of the PDF file (step S12: YES), the image processing unit 11c generates a vectorized file (step S13).
As described above, in this embodiment, the character image obtained by OCR (character recognition) at the stage (first stage) before the start of the vectorization process of each character image by the vectorization unit 11f in step S6. The size of the first file is calculated from the total number of characters and the average character image size, and OCR (character recognition) information and vectorized data in the stage (second stage) during the execution of the vectorization process by the vectorization unit 11f character coordinates of the font size of the extracted target character by matching a counter 11e-1, b counter 11e-2, c-counter 11e-3 each character image added in a total number of characters from the second obtained Data and files that have been vectorized at the stage (third stage) after the completion of vectorization processing by the vectorization unit 11f after the file size is calculated And it calculates the size of the third file obtained from the number of fonts to be used in the.
Then, by comparing the file size calculated at each stage with the size of the character layer of the PDF file, if the final size of the third file is smaller than the size of the character layer of the PDF file, the vectorized file Is generated.
Next, a specific example of the image processing described above will be described. 4 to 8 illustrate vectorization processing for reducing the size of a document file using vectorization and OCR (character recognition). Note that the vectorization process described below is performed by the image processing unit 11c described above.
First, as shown in FIG. 4, the document 20 is read by the scanner unit 14 described above, and a character image and OCR (character recognition) information b are acquired. Note that the vector image information (vector data) a is information on the PDF file of the document 20 itself as described above, and is already acquired. A font dictionary c described below is included in the PDF file. Here, since the character to be drawn cannot be specified from the vector image information (vector data) a, the character code and the character coordinates are obtained from the OCR (character recognition) information b, and the character dictionary and the font dictionary c are obtained by the following procedure. Register.
(1) For example, if the character image of “K” is OCR (character recognition), the X coordinate of the drawing start position that coincides between the left end and the right end of the character image of “K” is represented by OCR (character recognition) information b. Search from.
(2) When the OCR coordinates (character coordinates of OCR (character recognition) information b) and the X coordinate of the drawing start position of the vector image information a match, the Y of the drawing start position that matches between the upper end and the lower end of the Y coordinate Search for coordinates.
(3) If both match, it is determined as a corresponding character and up to the fill of the vector image information a is registered in the font dictionary c as characters.
(4) When a registered character is found by the search, registration to the font dictionary c is not performed.
As shown in FIG. 6, if the characters registered in the font dictionary c are, for example, “K”, “y”, “o”, and “c”, each character is displayed in the font dictionary c during the drawing process. Will be read from.
Next, as shown in FIG. 7, when the search to the EOF (end of data) of the vector image information a is completed, the next search is performed on the OCR (character recognition) information b from the vector coordinates of the vector image information a. Call. Here, since there may be a character that cannot be recognized by OCR (character recognition), the vector image information a is searched again by the following procedure.
(5) Search for a vector data write start position that does not match a character recognized by OCR (character recognition).
(6) The matched characters are discarded because they are already registered in the separately recognized symbols and font dictionary c.
(7) Non-matching characters are additionally registered in one font dictionary c by collecting vector strings.
Here, a block of non-matching characters is created, but 90% or more are registered in the font dictionary c, leading to a reduction in file size.
(8) A font is acquired from the font dictionary c in which characters are registered, and drawing processing is performed by designating size and description coordinates. That is, for example, when “K”, “y”, “o”, “c”, “o”, and “o” are drawn, the font of each character is acquired from the font dictionary c.
Next, a vectorization process for reducing the size of a document file using vectorization and pattern matching will be described with reference to FIG. Note that the pattern matching described below is performed by the image processing unit 11c described above.
First, as shown in FIG. 9, the original 20 is read by the scanner unit 14 described above, a character image is acquired, and registered in the font dictionary c in the following procedure.
(1) An element having the same luminance is searched for in the neighboring pixels of the binary image before vectorization, and a label is created. Here, for example, the label of the letter “K” is acquired.
(2) The coordinates of the location of the base point d at the time of label acquisition and the vertical and horizontal dot widths are stored.
(3) A search is performed on the described coordinates in the character image.
(4) The X coordinate of the drawing start position that matches the horizontal dot width (X coordinate) between the left end and the right end of the character image is searched from the vector image information a.
(5) When the X coordinates match, the Y coordinate of the drawing start position that matches between the upper end and the lower end of the vertical dot width (Y coordinate) is searched from the vector image information a.
(6) If both match, it is determined as a corresponding character, and up to the fill of the vector image information a is registered as a character in the font dictionary c described above.
(7) When a registered character is found by the search, registration to the font dictionary c is not performed.
(8) The center of gravity e of the label is determined, and the feature amount of the label from the position of the center of gravity e is calculated.
The feature amount is a distance (indicated by a dotted arrow) from the center of gravity d of the label to the outermost contour line. As a result, even if the target label is enlarged / reduced or rotated, it can be made to coincide with the period of the feature.
(9) Search the vector image information a for characters having the same feature quantity.
(10) The coordinates of the matched character and the horizontal and vertical widths are stored.
(11) Repeat (9) and (10) until no character is found.
(12) The next label is acquired and pattern matching similar to the above is performed.
At this time, the stored characters and coordinates are excluded from the next search target.
(13) In the drawing process, the font is acquired from the font dictionary c, and the size and description coordinates are designated.
As described above, this embodiment includes the vectorization unit 11f that is a vectorization unit that vectorizes a character image, and the vectorization processing control unit that controls the vectorization process performed by the vectorization unit 11f.
When the size of the first file calculated in the first stage before the vectorization processing is started by the vectorization processing control means is smaller than the file size of the document 20, the vectorization processing is being executed. Proceeding to the second stage, if the size of the second file calculated in the second stage is smaller than the file size of the document 20, the process proceeds to the third stage after the vectorization process, and calculated in the third stage. If the size of the third file is smaller than the size of the file of the document 20, a vectorized file in which data vectorized by the vectorization unit 11f is written is generated.
Specifically, the vectorization processing control means calculates a file size to be compared with a counter 11e which is a counting means for counting the character image of the document 20 obtained by character recognition for each character image. It has a file size calculation / comparison unit 11d, which is a size calculation / comparison unit, and an image processing unit 11c, which is an image processing unit that generates a vectorized file or a document file.
The file size calculation / comparison unit 11d calculates a first file obtained by multiplying the number of characters of the character image by each character image size in the first step, and vectorizes the character coordinates obtained by character recognition in the second step. Extract the target character by collating with the character coordinates included in the data, calculate the second file by multiplying the number of characters in the character image by the font size of the extracted target character, and in the third stage, calculate the number of characters in the character image The size of the third file obtained by multiplying the data by vectorization is calculated, and the size of the first to third files and the size of the document file are calculated in any of the first stage, the second stage, and the third stage. Comparing.
The image processing unit 11c generates a vectorized file when the size of the first to third files is smaller than the size of the document file in the first to third steps, and the first and second steps. Alternatively, if the size of the first to third files is larger than the size of the file of the document 20 in any of the third stages, the subsequent processing is interrupted and a document file according to the file format of the file of the document 20 is generated. .
As a result, if the size of the third file is smaller than the file size of the document 20 by comparison in the third stage, the vectorized file into which the vectorized data is written is smaller than the file size of the document 20. Therefore, it is possible to generate a document file for finely drawing an image without increasing the file size.
Further, if the size of the first to third files is larger than the size of the file of the document 20 in any of the first step, the second step, or the third step, the subsequent processing is interrupted, and therefore unnecessary processing is performed. It can be omitted.
Further, when the size of the first file is calculated by the file size calculation comparison unit 11d, the average character image size obtained by averaging the size of each character image to the total number of characters of each character image counted by the counter 11e. Therefore, the size of the first file can be easily calculated.
Further, the image processing unit 11c registers the vectorized data of the character image that matches by matching the character coordinates obtained by character recognition with the character coordinates included in the vectorized data in the font dictionary c, and this registered vectorization Since the vectorized file is generated using the data, vectorization of the character image obtained by character recognition can be performed easily and reliably.
In addition, the image processing unit 11c registers vectorized data of a character image that matches a feature amount obtained from a character image pattern obtained by character recognition in a font dictionary, and uses the registered vectorized data to create a vectorized file. As described above, the character image obtained by character recognition can be easily and reliably vectorized as described above.
In addition, when registering in the font dictionary c, since registration is not performed for characters that have already been registered, it is possible to prevent the file size from increasing even if the number of character images to be registered increases. can do.
DESCRIPTION OF SYMBOLS 10 Document file generator 11 Control part 11a Operation reception part 11b Image recognition part 11c Image processing part 11d File size calculation comparison part 11e Counter 11e-1 a counter 11e-2 b counter 11e-3 c counter 11f Vectorization part 11g Memory 12 Operation unit 13 Display unit 14 Scanner unit 20 Document a Vector image information (vector data)
b OCR (character recognition) information c Font dictionary d Base point e Center of gravity
A document file generation device that generates a document file obtained by converting character images of a document obtained by character recognition into data,
Vectorizing means for vectorizing the character image;
Vectorization processing control means for controlling vectorization processing by the vectorization means,
The vectorization processing control means includes
Calculating the size of the first file based on the number of characters and the character size of the character image in a first stage before the start of the vectorization process;
Based on the number of characters and the character size of the character image extracted by collating the character coordinates obtained by the character recognition with the character coordinates included in the vectorized data in the second stage during the execution of the vectorization process Calculate the size of the second file
In a third stage after the completion of the vectorization process, the number of characters of the character image and the size of the third file based on the vectorized data are calculated,
If the size of the first to third files is smaller than the size of the original file in the first to third steps, a vectorized file in which data vectorized by the vectorizing means is written is generated. A document file generation device characterized by:
A counting means for counting the character image of the document obtained by the character recognition for each character image;
File size calculation comparing means for calculating and comparing the size of the file;
Image processing means for generating the vectorized file or document file,
The file size calculation comparing means
In the first step, it calculates the size of the first file obtained by multiplying each of the character image size to the number of characters of the character image,
In the second stage, a target character is extracted by collating the character coordinates obtained by the character recognition with the character coordinates included in the vectorized data, and the number of characters in the character image Calculate the size of the second file multiplied by the size ,
In the third step, a size of a third file obtained by multiplying the number of characters of the character image by the vectorized data is calculated,
Comparing the size of the first to third files with the size of the document file in any of the first step, the second step or the third step;
If the size of the first to third files is smaller than the size of the document file in the first to third steps, the vectorized file is generated,
If the size of the first to third files is larger than the size of the original file in any of the first stage, the second stage, or the third stage, the subsequent processing is interrupted, and the original file The document file generation apparatus according to claim 1, wherein the document file is generated according to a file format of:
The file size calculation comparing means calculates an average character image size obtained by averaging the size of each character image to the total number of characters counted by the counting means when calculating the size of the first file. The document file generation device according to claim 2, wherein
Vectorized data of a character image that matches by matching character coordinates obtained by the character recognition with character coordinates included in the vectorized data is registered in a font dictionary, and the vectorization is performed using the registered vectorized data. 4. The document file generation apparatus according to claim 2, wherein the file is generated.
The image processing unit registers vectorized data of a character image that matches a feature amount obtained from a character image pattern obtained by the character recognition in a font dictionary, and uses the registered vectorized data to store the vectorized file. The document file generation apparatus according to claim 2, wherein the document file generation apparatus generates a document file.
6. The document file generation apparatus according to claim 4, wherein when registration is performed in the font dictionary, registration is not performed for characters that have already been registered.
A document file generation method for generating a document file obtained by converting character images of a manuscript obtained by character recognition into data,
Vectorizing the character image by vectorization means;
The vectorization processing control means controls the vectorization processing by the vectorization means,
If the size of the first to third files is smaller than the size of the original file in the first to third steps, a vectorized file in which data vectorized by the vectorizing means is written is generated. A document file generation method characterized by:
A step of counting the character image of the document obtained by the character recognition by the counting means for each character image;
A step of calculating and comparing the size of the file by a file size calculation comparing means;
Generating the vectorized file or document file by image processing means,
If the size of the first to third files is larger than the size of the original file in any of the first stage, the second stage, or the third stage, the subsequent processing is interrupted, and the original file A document file generation method according to claim 7, wherein a document file according to the file format is generated.
The file size calculation comparing means calculates an average character image size obtained by averaging the size of each character image to the total number of characters counted by the counting means when calculating the size of the first file. The document file generation method according to claim 8, wherein:
Vectorized data of a character image that matches by matching character coordinates obtained by the character recognition with character coordinates included in the vectorized data is registered in a font dictionary, and the vectorization is performed using the registered vectorized data. 10. The document file generation method according to claim 8, wherein the file is generated.
The image processing unit registers vectorized data of a character image that matches a feature amount obtained from a character image pattern obtained by the character recognition in a font dictionary, and uses the registered vectorized data to store the vectorized file. 10. The document file generation method according to claim 8, wherein the document file is generated.
12. The document file generation method according to claim 10 or 11, wherein when registering in the font dictionary, registration is not performed for already registered characters.
JP2014011223A 2014-01-24 2014-01-24 Document file generation apparatus and document file generation method Active JP6000992B2 (en)
JP2014011223A JP6000992B2 (en) 2014-01-24 2014-01-24 Document file generation apparatus and document file generation method
CN201510033797.XA CN104809099B (en) 2014-01-24 2015-01-23 Apparatus and method for generating a document file document file generation
US14/604,701 US9575935B2 (en) 2014-01-24 2015-01-24 Document file generating device and document file generation method
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