JP2007048061A - Character processing device, character processing method, and recording medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To realize an accurate and highly responsive retrieval means in original-document retrieval in which paper documents are scanned and original electronic documents are retrieved. <P>SOLUTION: Texts read by an OCR are classified into similar character groups in which characters are preliminarily grouped according to morphological similarities, and character codes are converted to characters representative of the similar character groups to search similar documents. By this, an accurate original-document retrieval is realized, which is not affected by erroneous identification of a fine symbol such as minus or dash. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a character processing apparatus, a character processing method, and a recording medium for scanning a paper document and performing processing such as copying, FAX, and SEND.

  In recent years, copiers are becoming more and more multifunctional than just copying paper, such as the function of connecting to a PC and using it as a printer, the FAX function of faxing scanned documents, the SEND function of forwarding mail, etc. Is also provided. Along with the digitization of documents, it is positioned as a portal for realizing document solutions linked with document management.

  With the spread of computers (PCs), document creation is generally performed using application software on a PC such as document creation software, and various documents are created, edited, copied, searched, etc. on the PC. It is widely done. Also, with the development and popularization of networks, electronic document data (electronic document data) created on a PC in this way is not output as a paper document (paper document) using a printer or the like. In addition, access from other PCs, etc., and transmission / distribution by e-mail or the like have come to be performed, and a paperless document creation environment is being advanced.

  Such electronic document data has been managed systematically by computers by building a document management system, reducing the amount of information by sharing, ease of access by associating documents, and increasing the number of people It is extremely effective in sharing information by means of.

  On the other hand, paper documents also have significant advantages over electronic document data in terms of readability, ease of handling, convenience in carrying, and intuitive comprehension. For this reason, even when electronic document data is created, it is still more efficient to output and use it on a paper document using a printer device or the like. Thus, paper documents and electronic documents are currently in a complementary relationship and are distributed together.

  Paper documents are very convenient for reference and are distributed in various ways, but often you want to re-edit / reuse the document rather than just referencing it. Conventionally, in such a case, an electronic file is separately obtained and edited manually, which has been a cause of hindering document reusability.

  In order to solve the problem of separation between paper documents and electronic documents, scan the printed paper document and search the original electronic document data from which the paper document was printed based on the information. A search method to do is also proposed. Such a search technique is referred to herein as an original search. This original search function can also be applied to ensuring security in a copying machine. For example, it can also be applied to a copy suppression function as a technique for preventing leakage of scan information.

  A device for realizing the original search has been proposed. For example, in Japanese Patent Application Laid-Open No. 2001-25656, a similarity between a feature amount extracted from raster image data of a paper document and a feature amount extracted from raster image data obtained by developing electronic document data in advance is determined. We have proposed a method for retrieving original electronic document data. In this proposal, since documents are compared on an image basis, a certain degree of strict invariance is required when an application generates a raster image. However, in an actual system (application), it is often difficult to generate a raster image by precisely matching the layout. In the past, when the application or OS version changed, a phenomenon that the layout slightly collapsed occurred quite frequently. If the invariance of the layout cannot be ensured in this way, the original document cannot be detected even if the contents are exactly the same.

  Also, for example, in Japanese Patent Laid-Open No. 3-263512, a document recorded on a recording sheet is read by a scanner and digitized for character recognition, and a character string recognized by the user is used as a search range. There is a method of searching for a document that is specified and has the same content and positional relationship. This proposal has a drawback that the user has to specify a character string from a scanned and character-recognized document, and the trouble of specifying a search range remains. Of course, the entire document can be specified as the search range, but in this case, matching with the character string of the entire document is performed. Considering that there is a certain amount of misrecognition in character recognition, the matching is ambiguous matching, and a considerable processing load is applied in the comparison, and realistic response time cannot be expected. In order to retrieve text recognized from a paper document as a query, in order to obtain realistic response performance, another contrivance that cannot be solved by a simple matching process is required.

In order to allow such ambiguity of misrecognition of character recognition, similar characters are grouped in advance up to a level where there is considerably less room for misrecognition. And the matching processing may be performed based on the output group code.
Such recognition of similar character groups has been proposed as internal processing for character recognition for speeding up. For example, in Japanese Patent Laid-Open No. 08-180138, similar character group internal processing is also proposed. A method for recognizing representative characters is described, but this is performed as an internal process, and recognition processing for individual characters is performed at the next stage. Not individual characters.
Japanese Patent Laid-Open No. 2001-25656 Japanese Patent Laid-Open No. 03-263512 Japanese Patent Laid-Open No. 08-180138

The present invention is intended to solve the above-described problems.
That is, it is intended to provide a solution means for realizing an original search with high accuracy within a realistic response time.

  In order to achieve the above object, a character processing apparatus according to the present invention comprises the following arrangement.

  That is, a character processing apparatus for processing characters, a copy instruction means for instructing copying of a document, a reading means for reading a document content recorded on a recording sheet, and an OCR on a document image read by the reading means. Character recognition means for converting to text, search means for searching for an original document based on similarity of the character-recognized text, copy execution means for executing copy based on information of the searched original document, Each character is previously divided into similar character groups based on morphological similarity, and the code included in the text output by the character recognition means is a code representing each similar character group.

  A character processing apparatus for processing characters, a document movement instruction means for instructing movement of a document, a reading means for reading the document contents recorded on the recording paper, and an OCR on the document image read by the reading means. Character recognition means for converting to text, search means for searching for an original document based on similarity of the character-recognized text, and document movement for executing document movement based on information of the searched original document Each character is previously divided into similar character groups based on morphological similarity, and the code included in the text output by the character recognition means is a code representing each similar character group .

  In order to achieve the above object, a character processing method according to the present invention comprises the following arrangement.

  That is, a character processing method applied to a character processing device for processing characters, a copy instruction step for instructing copying of a document, a reading step for reading the document content recorded on a recording sheet, and a reading means by the reading means A character recognition step for converting the obtained document image to OCR and converting it to text, a search step for searching the original document based on the similarity of the character-recognized text, and a copy based on the information of the retrieved original document A copy execution step for executing each of the characters, wherein each character is pre-divided into similar character groups based on morphological similarity, and the code included in the text output by the character recognition step represents each similar character group It is a code to do.

  A character processing method applied to a character processing apparatus for processing characters, a document movement instruction step for instructing movement of a document, a reading step for reading the contents of a document recorded on a recording sheet, and the reading means A character recognition step for converting the read document image to OCR and converting it to text, a search step for searching the original document based on the similarity of the character-recognized text, and the information on the searched original document A document movement execution step for executing document movement, wherein each character is preliminarily classified into a group of similar characters based on morphological similarity, and the code included in the text output by the character recognition step is each similar character This code represents a group.

  In order to achieve the above object, a recording medium according to the present invention comprises the following arrangement.

  That is, a computer-readable recording medium storing a program code of a character processing method applied to a character processing apparatus that processes characters, recorded on a recording sheet and a program code of a copy instruction step for instructing copying of a document Based on the similarity between the program code of the reading step for reading the document content, the program code of the character recognition step for converting the document image read by the reading means to OCR and converting it into text, and the text recognized by the character A program code for a search step for searching for a document and a program code for a copy execution step for executing a copy based on information of the searched original document, each character being a group of similar characters based on morphological similarity The text output by the program code of the character recognition step Code contained in is a code representing each similar character group.

  A computer-readable recording medium storing a program code of a character processing method applied to a character processing apparatus for processing characters, recorded on a recording sheet and a program code of a document movement instruction step for instructing movement of the document Based on the similarity between the program code of the reading step for reading the content of the read document, the program code of the character recognition step for converting the document image read by the reading means to OCR and converting it into text, and the text recognized by the character A program code for a search step for searching an original document and a program code for a document move execution step for executing a document move based on information of the searched original document, each character being based on morphological similarity It is divided into similar character groups in advance, and the text output by the character recognition step program code is output. Code included in the list is the code representing each similar character group.

  As is clear from the above description, according to the present invention, when judging the similarity of sentences, in order to minimize the influence of misrecognition of OCR, it is divided into similar character groups in advance and OCR is performed. Since each character is mapped to the representative character of each character group and matching is determined based on it, similarity determination with high resistance to misrecognition is possible, and more robust original search can be realized, so operability Can provide a character processing apparatus with high accuracy.

  DESCRIPTION OF EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a block diagram showing the configuration of a character processing apparatus to which the present invention is applied.

  In the configuration shown in the figure, the CPU is a microprocessor, performs calculation for image processing, character processing, search processing, logical determination, and the like, and controls each component connected to the bus via the bus.

  BUS is a bus and transfers an address signal and a control signal instructing each component to be controlled by the microprocessor CPU. In addition, data transfer between each component is performed.

  The RAM is a readable / writable random access memory and is used for primary storage of various data from each component.

  ROM is a read-only nonvolatile memory. The boot program by the microprocessor CPU is stored. The boot program loads a control program stored in the hard disk into the RAM when the system is started, and causes the microprocessor CPU to execute it. The control program will be described in detail later with reference to a flowchart.

  The input device is a touch panel or the like. It can be configured with a keyboard, mouse, etc. like a normal PC.

  The display device is a liquid crystal display or the like. It can also be configured with a CRT, etc. like a normal PC.

  The scanner is a device that performs processing such as reading and digitizing a paper document as a document.

  A printer is a device for printing a document. An electronic document sent from the communication line or an electronic document held in the HD is printed. The copy function is realized by printing a scan image read from the scanner as it is by a printer.

  HD is a hard disk, a control program executed by the CPU, a representative character table that divides characters into similar character groups and defines characters that represent each similar character group, search processing and document management A document management index in which the index is stored, a character importance table storing data on the importance of each character when performing a sentence content similarity search, and the like are stored.

  The removable external storage device is a removable storage device such as a USB memory device or an IC card. As with a normal PC, a drive for accessing an external storage such as a flexible disk, CD, or DVD can be arranged. It is a device that can be used in the same manner as the HD and exchanges data with other character processing devices through these recording media. Note that the control program stored in the hard disk can be entirely or partially copied from these external storage devices to HD as necessary.

  The communication device is a network controller. A device for exchanging data with the outside via a communication line.

  The character processing apparatus according to the present invention composed of these components operates according to various events from the input device or the like. When an interrupt from an input device is supplied, a signal is sent to the microprocessor CPU, and an event is generated accordingly, and the CPU reads various instructions stored in the ROM or RAM according to the event, Various controls are performed.

  FIG. 2 is a diagram showing an example of the operation flow in the present invention.

  The apparatus of the present invention stores an index for search and information for security management in advance in the document management index. When a copy of a paper document, FAX, or SEND is instructed, the document is scanned to obtain a scanned image. An original document is obtained by searching the document management index based on the scan image, and document management information such as a document ID and document operation availability is acquired. If the operation is permitted depending on whether or not the document operation is possible, normal printing (copying) processing such as outputting the scan image as it is, or FAX or SEND is performed. When document operation is not possible, document operation operations such as copy, fax, and SEND are suppressed, and at the same time, the document ID of the original document is displayed in case the security administrator is requested to cancel the document operation suppression. .

  FIG. 3 is a diagram showing an example of screen transition of the operation panel of the copying machine according to the present invention. Screen 3-1 is a screen in an initial state. Various buttons such as a copy button for starting a copy operation, a FAX button for starting a FAX operation, a SEND button for starting a SEND operation, and a setting button for setting security information are arranged. When the copy button is instructed, it is determined whether copying is permitted. If copying is permitted, the copying operation is performed without any problem. If copy suppression is set, the copy operation is not performed. A notification that the copy operation is not performed is notified, and the document ID set to copy suppression is displayed (screen 3-2). In the present invention, the comparison with the image pattern of the document is not directly performed, but the determination is made based on the text content. Therefore, the copy may be suppressed only when the text content is similar. In such a case, since the basis for copy suppression (which document copy is suppressed) is unknown, the document ID that is the target of copy suppression is displayed. By doing so, it is possible to request cancellation of copy suppression by consulting the document security administrator.

  As with the copy button, the FAX function and SEND function are executed for the FAX button and SEND button. Even when the suppression is set, the document ID is displayed as in screens 3-3 and 3-4 as in the case of copying.

  When “Setting” is selected on the screen 3-1, the screen moves to the screen 3-5, and the security information of the document can be changed. If security information can be changed by anyone, there is no security meaning. Therefore, in order to limit the use to only the document security administrator, a login name and password are requested and user authentication is performed. Entering the document ID, selectively specifying “Allow” or “Prohibit” for each attribute of copy, FAX, and SEND, and instructing the setting button at the end, the entered security information becomes the document management index. Set to

  FIG. 4 is a diagram illustrating an example of block analysis performed in the present invention.

  Reference numeral 4-1 denotes a scan image, which is a document image obtained by digitizing a paper document read by a scanner. Block analysis is a process of dividing the document image into rectangular blocks according to the properties of the blocks. In the case of the figure, as a result of block analysis, it is divided into three blocks. One block (4-2) is a text block because sentences (text) are included inside, and the remaining two blocks (4-3, 4-4) are information other than text (graphs, photographs, etc.). Is included in the image block. Character recognition is applied to the text block and text is extracted, but text information is not extracted from the image block.

  FIG. 5 explains the OCR text information extracted from the text block and the extracted text features.

  Character recognition processing is applied to the text block of the scanned image, and text data is extracted as OCR text information. Since it is character recognition processing, 100% accurate recognition is not always performed, and certain erroneous recognition data is included. In the figure, the character string that should be "X-100" is "X-100", the character string that should be "AB series" is "A8 series", and the character string that should be "super photo quality" is "super photo direct quality" It has become. Such a misrecognized character cannot be matched. Of course, it should be recognized as accurately as possible so that misrecognition does not occur by improving OCR, but there are things that cannot be recognized and separated like "-" (minus) and "-" (long sound symbol). Many. If there is a misrecognition, matching cannot be performed. In the present invention, characters that are easily misrecognized, such as “B” and “8”, “Picture”, and “Direct” are grouped in advance. Then, the character code representing the group is output.

  Even if similar character groups are grouped in this way, erroneous recognition still occurs, but since it can be reduced to a smaller number, the detection rate of similar sentences improves as a whole.

  FIG. 6 is a diagram showing a configuration of a document management index for searching an original document and acquiring security information.

  The document management index stores “document ID”, “layout feature amount”, “text content feature amount”, “image content feature amount”, and “document control information”.

  The “document ID” is identification information that can uniquely identify the document.

  The “image content feature amount” is index information for measuring the similarity of each image block. For example, a bit map image when each block is printed may be divided into n vertical and m horizontal rectangles, and an image feature amount storing average luminance information and color information of each rectangle may be considered. An example of an image feature amount for performing a similarity search is proposed in, for example, Japanese Patent Laid-Open No. 10-260983.

  When a plurality of image blocks exist in one document, the image content feature amount is extracted and processed for each image block.

  When calculating the similarity of image contents, the image content feature quantity of each document stored here for each block is compared with the image content feature quantity of each image block of the query, and each matching rate is adjusted. One image content similarity is calculated.

  The “layout feature amount” is index information for performing a similarity search based on the layout. This is information for determining the similarity of the entire layout, and can be, for example, an image feature amount when the entire page is viewed as one image. Another example is an amount based on each text, the position (coordinates) of the image block, and the size (area, number of characters, etc.) of the block.

  The layout feature amount of an electronic document is created by processing a raster image created at the time of printing from a PC or the like, or a scanned and digitized scanned image at the time of copying, FAX, SEND.

  When obtaining the layout similarity, the layout feature amount of each document stored here is compared with the layout feature amount of the query, and the layout similarity is calculated.

  The “text content feature amount” and “document control information” will be described in detail with reference to FIGS.

  FIG. 7 is a diagram showing the structure of the text content feature amount.

  The sentence content feature amount is index information for performing a similarity search based on the similarity of sentence contents. Corresponding to each document identified by the document ID, a document vector corresponding to the text content is stored. Here, the dimension of the document vector is a character, and the value of each dimension of the document vector is the appearance frequency of the character. However, one character is not exactly one-dimensional, and morphologically similar characters are grouped in advance, and a document vector is configured with this similar character group as one dimension. For example, in the figure, two characters “8” and “B” correspond to dimension 2. The appearance frequency included in the document is stored for each character.

  When there are a plurality of text blocks in one document, the text feature data extracted from the plurality of text blocks is aggregated for all the text blocks and one document vector is created.

  When searching the original document, vector data (query vector) of the same format as the document vector stored here is created from the scanned document that is the search query. The sentence content similarity is calculated one by one.

  FIG. 8 shows the structure of the document control information.

  Corresponding to each document identified by the document ID, security information is stored as to how the document should be managed. Corresponding to the document ID, security information is stored for each of the operations 8-1 for copying, 8-2 for FAX, and 8-3 for SEND. 1 is stored for each operation, and 0 is stored for each operation. In addition, an embodiment in which the permission / restriction control is changed for each user is also conceivable. In such a case, the document control information is configured by adding a dimension of user information to a three-dimensional structure. realizable.

  In the figure, the document with document ID 6947 is copy permission, FAX permission, and SEND permission, the document with document ID 6948 is only permitted to copy, and FAX and SEND are suppressed. Only SEND is permitted for the document with document ID 6949, and copying and FAX are inhibited.

  FIG. 9 is a character importance table. It is a table which shows the importance of each character in determining the similarity of text content. In this table, the frequency of occurrence of each character is stored for all documents.

  The importance of each character is calculated as the reciprocal of this frequency. However, when the frequency is 0, the importance of the character is 0. This is because characters that do not appear in any document are not useful for similarity determination. The reason why the importance is the reciprocal of the frequency is that common characters that appear in many documents are relatively less important in determining the similarity of the text content.

  FIG. 10 is a diagram showing a formula for calculating similarity when determining similarity of documents in the present invention.

  Sentence content similarity is obtained by multiplying the two documents to be compared by multiplying the absolute value of the difference in the frequency of appearance of all characters (from k = 1 to k = n) by the importance of the character, and then subtracting it. Expressed with the value of. Since it is negative, it can be determined that the smaller the difference in appearance frequency, the larger the value of the sentence content similarity, and the higher the value of the sentence content similarity, the higher the similarity. Similarly, the layout similarity is set so that the similarity is higher as the similarity value is larger.

  The total similarity is basically the sum of layout similarity, sentence content similarity, and image content similarity, but weights α, β, and γ are multiplied according to the importance of each similarity calculation. Is added. α is a weight for layout information, β is a weight for text content information, and γ is a weight for image content information. The values of α, β, and γ are variable and can be changed according to the viewpoint of security management. If the layout or image is not confidential and only the text content needs to be checked, the layout similarity and the image content similarity weights α and γ are reduced. For example, if the layout is completely ignored, α = 0 may be set. On the other hand, if a certain security consideration is given to the layout like banknotes / securities, and if it is desired to place the same importance on the text content, α = 1, β = 1, γ = 1, etc. are set.

  The above operation will be described with reference to a flowchart.

  FIG. 11 is a flowchart showing the operation of the character processing apparatus of the present invention, more specifically, the processing procedure of the microprocessor CPU. Step S11-1 is a system initialization process that initializes various parameters, displays an initial screen, and the like. Step S11-2 is a process in which the microprocessor CPU waits for some event to occur, such as a request from an input device such as a touch panel or a directly connected / network connected device / device. When an event occurs, the microprocessor CPU determines this event in step S11-3, and branches to various processes according to the type of event. A plurality of branch destination processes corresponding to various events are collectively expressed in the form of step S11-4. The document registration process of FIG. 12, the document management information setting process of FIG. 14, and the document operation process (copy process, FAX process, SEND process) of FIG. 15 are part of this branch destination. As other processing, details are not described, but there are normal copying machine processing such as processing for setting the number of copies and processing for specifying a FAX or SEND destination. Step S11-5 is a display process for displaying the end of each process. This process is generally performed widely, such as an error display when there is an error and a display process when the process ends normally.

  FIG. 12 is a flowchart detailing the document registration process which is a part of step S11-4. Executed when a new document is registered. Registration of a new document is performed simultaneously with normal document operation processing. In step 12-1, normal document operation processing such as printing, copying, FAX, SEND, etc. is performed. In the course of this document operation process, a bitmap image of a document is acquired by scanning if copying, FAX, SEND, or by creating a raster image if printing. In step S12-2, as described in detail in FIG. 13, the acquired bitmap image is subjected to block analysis or the like, and document feature amounts such as layout features, text content features, image content features, etc. are extracted. In step S12-3, the acquired document feature amount is registered in the document feature amount information. In step S12-4, the character importance table is updated to reflect the registered document content feature amount.

  FIG. 13 is a flowchart detailing the document analysis processing in step S12-2. In step S13-1, the bitmap image is subjected to block analysis and separated into a text block, an image block, and the like. In step S13-2, character recognition processing is performed on the characters in the text block to extract OCR text information. In step 13-3, each character of the extracted OCR text information is converted into a representative character of a predetermined similar character group. In step S16-3, layout features such as the coordinates and size of each block (area for an image block, number of characters for a text block) are extracted from the block structure subjected to block analysis. In step S13-5, character statistical data is extracted from the text information converted into the representative character, and a document vector which is a sentence content feature amount is generated. In step S13-6, an image content feature amount is extracted for each image block.

  FIG. 14 is a flowchart detailing the document management information setting process which is a part of step S11-4. First, in step S14-1, as shown in screen 3-5, the security administrator login name / password (used for user authentication) and security information to be set for each document are entered by the user, and the setting button is pressed. Let me tell you. User authentication is performed based on the login name and password input in step 14-2. In step 14-3, it is determined whether or not the user authentication has succeeded, that is, whether or not the right to change the security information is recognized by the user authentication. If the user authentication fails, the information is not changed and the process returns. If the user authentication is successful, in step 14-4, the document security information is reflected in the document management index according to the input information.

  FIG. 15 is a flowchart detailing the document operation process which is a part of step S11-4. Document operations include processes such as copying, FAX, and SEND. First, in step S15-1, the user ID of the currently logged-in user is acquired by referring to a temporary variable. In step S15-2, the operation ID (copy, FAX, SEND, etc.) of the target document operation is acquired. In step S15-3, the paper document is read by a scanner and converted into a bitmap image. In step S15-4, the document analysis process detailed in FIG. 13 is performed, and the bitmap image is subjected to block analysis to extract document feature values (layout feature value, text content feature value, image content feature value). In step S18-5, as will be described in detail with reference to FIG. 16, document operation control processing is performed, and the document operation is performed according to each authority.

  FIG. 16 shows the document operation control process in which step S15-5 is detailed. In step S16-1, the document management index is searched for the extracted feature quantity, and the overall similarity is calculated from the layout similarity, sentence content similarity, and image content similarity as shown in FIG. In step S16-2, ranking is performed according to the overall similarity, and the document ID of the original document is determined. In step S16-3, the security information of the original document is extracted from the document management index. In step S16-4, it is determined whether or not the corresponding document operation is a suppression target according to the security information. If the operation is not to be specifically suppressed, the process branches to step S16-5, executes normal document operation processing, and returns. As a result of the analysis, if it is a suppression target, the process branches to step S16-6, suppresses the document operation, displays an error message including the document ID information of the determined original document, and returns.

(Other examples)
Note that the present invention is not limited to the above-described embodiment, and can be appropriately changed without departing from the spirit of the present invention.

  In the above-described embodiment, when obtaining a representative character of a similar character group, first, after performing normal character recognition, the representative character is obtained by referring to a table or the like. The representative character may be obtained and output. In this case, another type of character recognition processing different from the original character recognition is incorporated into the original search mechanism. By doing so, the processing time load of the character recognition process can be reduced, and the merit of improving the overall processing speed can be obtained.

  The representative character of the similar character group is assumed to be a normal character code, but it can be mapped to a special code system that expresses the character group instead of the character code. By doing so, the size of the code set can be reduced, the number of bits expressing the code can be reduced, the required memory size can be reduced, and a more compact device can be realized.

  In addition to the above, the configuration can be changed as appropriate without departing from the spirit of the present invention.

It is a block diagram which shows the whole structure of the character processing apparatus of a present Example. It is the figure which showed the example of operation in the character processing apparatus of a present Example. It is the figure which showed the example of a screen transition in the character processing apparatus of a present Example. It is the figure which showed the example of the block analysis. It is the figure which showed the example of the text feature extraction from OCR text. It is the figure which showed the structure of the document management index in the character processing apparatus of a present Example. It is the figure which showed the structure of the text content feature-value in the character processing apparatus of a present Example. It is the figure which showed the structure of the document control information in the character processing apparatus of a present Example. It is the figure which showed the structure of the character importance degree table in the character processing apparatus of a present Example. It is the figure which showed the calculation method of the similarity degree in the character processing apparatus of a present Example. It is a flowchart which shows an example of the process sequence of the whole character processing apparatus of a present Example. It is a flowchart which shows an example of the process sequence of a document registration process. It is a flowchart which shows an example of the process sequence of a document analysis process. It is a flowchart which shows an example of the process sequence of a document management information setting process. It is a flowchart which shows an example of the process sequence of a document operation process. It is a flowchart which shows an example of the process sequence of a document operation control process.

Claims (6)

  A character processing apparatus for processing characters, comprising: a copy instructing unit for instructing copying of a document; a reading unit for reading a document content recorded on a recording sheet; and subjecting a document image read by the reading unit to OCR Character recognition means for converting into text, search means for searching for an original document based on similarity of the recognized text, and copy execution means for executing copy based on information of the searched original document , Each character is previously divided into similar character groups based on morphological similarity, and the code included in the text output by the character recognition means is a code expressing each similar character group Character processing unit.   A character processing apparatus for processing characters, a document movement instructing unit for instructing movement of a document, a reading unit for reading the contents of a document recorded on a recording sheet, and applying OCR to a document image read by the reading unit Character recognition means for converting the text into text, search means for searching for the original document based on the similarity of the character-recognized text, and document movement execution means for executing the document movement based on the information of the searched original document Each character is previously divided into similar character groups based on morphological similarity, and the code included in the text output by the character recognition means is a code representing each similar character group. Character processing device.   A character processing method applied to a character processing apparatus for processing characters, a copy instruction step for instructing copying of a document, a reading step for reading the document content recorded on a recording sheet, and a reading means read by the reading means A character recognition step for converting the document image into text by OCR, a search step for searching the original document based on the similarity of the character-recognized text, and copying based on the information of the searched original document A copy execution step, wherein each character is previously divided into similar character groups based on morphological similarity, and the code included in the text output by the character recognition step is a code representing each similar character group The character processing method characterized by being.   A character processing method applied to a character processing apparatus for processing characters, a document movement instruction step for instructing movement of a document, a reading step for reading the contents of a document recorded on a recording sheet, and read by the reading means Character recognition step for converting the document image to OCR and converting it to text, a search step for searching the original document based on the similarity of the character-recognized text, and document movement based on the information of the retrieved original document A character movement execution step for executing the following: each character is previously divided into similar character groups based on morphological similarity, and the code included in the text output by the character recognition step includes each similar character group. A character processing method characterized by being a code to be expressed.   A computer-readable recording medium storing a program code of a character processing method applied to a character processing apparatus for processing characters, the program code of a copy instruction step for instructing copying of a document, and a document recorded on a recording sheet Based on the similarity between the program code of the reading step for reading the content, the program code of the character recognition step for converting the document image read by the reading means to OCR and converting it into text, and the character recognition text A program code for a search step for searching, and a program code for a copy execution step for executing copying based on the information of the searched original document, each character is previously stored in a similar character group based on morphological similarity. Are included in the text output by the program code of the character recognition step. Computer-readable recording medium comprising a code is a code representing each similar character group of.   A computer-readable recording medium storing a program code of a character processing method applied to a character processing apparatus for processing characters, recorded on a recording sheet and a program code of a document movement instruction step for instructing movement of a document Based on the similarity between the program code of the reading step for reading the document content, the program code of the character recognition step for converting the document image read by the reading means to OCR and converting it into text, and the character recognition text And a program code for a document movement execution step for executing document movement based on the retrieved original document information, each character being a similar character based on morphological similarity Text that is divided into groups and output by the program code of the character recognition step Computer readable recording medium characterized in that code included is a code representing each similar character group.

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