JP4801368B2 - Image processing apparatus, image processing method, image processing program, and recording medium - Google Patents

Description

  The present invention relates to an image processing device, an image processing method, an image processing program, and a recording medium, and in particular, an image processing device, an image processing method, an image processing program, and a recording for determining text information included as an image in predetermined image data. It relates to the medium.

  In the past, security has only emphasized external attacks such as viruses. However, in recent years, information leakage from inside regardless of a company or an individual has been attracting attention, such as leakage of customer data and privacy information. As a countermeasure against such information leakage, a method such as closing an exit with a firewall or the like is not sufficient, and it is necessary to take a countermeasure according to the value of each information asset and how it is used.

  In general, in an enterprise, the information assets are formed, stored and used in the form of documents. Considering the confidentiality of this corporate document, it is very important to control the handling of corporate documents according to the confidentiality. Against this background, various technologies for limiting the handling of corporate documents already exist.

  For example, in the technique described in Patent Document 1, in order to control the handling of a document, a list (ACL (Access Control List)) indicating what access each user is permitted to each document. And the confidentiality of the document is ensured by operating the system based on the ACL. However, while confidentiality can be ensured inside a system operating based on ACL, confidentiality is not provided for documents taken out of the system by users who are permitted to access based on ACL. It will not be kept.

  In the technique described in Patent Document 2, a group having an access right as an attribute of a tag is described in an XML (eXtensible Markup Language) document, or encryption or an expiration date is designated. As a result, even when the XML document leaves the system, it is possible to retain the access authority for the XML document.

In the technique described in Patent Document 3, a document is converted into unprintable data and print data, and stored in association with the original document. In response to a browsing request from a client, data that cannot be printed is transmitted, and in response to a print request, print data is transmitted to a printer or the like. That is, by preparing a document corresponding to the requested access in advance, it is possible to prevent leakage of information exceeding the requested access authority.
JP-A-6-4530 JP 2001-273285 A JP 2002-342060 A

  However, the techniques described in Patent Document 1, Patent Document 2, and Patent Document 3 require that some information be defined or set by the user. That is, with the technique described in Patent Document 1, access control cannot be realized unless ACL is set in advance. In the technique described in Patent Document 2, control is not possible unless information for access control is added to the document. Furthermore, in the technique described in Patent Document 3, control cannot be performed unless a dedicated file corresponding to the access authority is generated in advance.

  That is, all of the conventional techniques function only when security information such as access authority is given by the judgment of the user. The function is also effective only when the document is inside the system, or only when there is information added by the system. Therefore, for example, there is a problem that it is difficult to protect image data read from a paper document by a scanner or the like immediately, that is, before being registered in a predetermined system.

  Therefore, text information is extracted from the image data read by a scanner or the like by OCR (Optical Character Recognition), the extracted text information, and the contents of a document that is managed by setting security information in a document management system or the like. It is conceivable that the security information set in the document having contents similar to the text information extracted from the image data is applied to the image data.

  However, in this case, depending on the recognition rate of the OCR, there is a problem that an appropriate determination result may not be obtained regarding the similarity determination between the text information extracted from the image data and the document in the document management system.

  The present invention has been made in view of the above points, and is an image processing apparatus, an image processing method, an image processing program, and a recording medium that can appropriately determine text information included as an image in image data. The purpose is to provide.

  Accordingly, in order to solve the above-described problem, the present invention provides an image processing apparatus for determining text information included as an image in predetermined image data, wherein the first text information and the first text information are converted into an image. Holding means for associating and holding second text information extracted by optical character recognition from the image data included as text information extraction for extracting third text information by optical character recognition from the predetermined image data The text information included in the predetermined image data is based on the comparison between the second text information stored in the storage unit and the second text information stored in the storage unit. And determining means for determining that the first text information is associated with the information.

  In such an image processing apparatus, text information included as an image in image data can be appropriately determined.

  In order to solve the above problems, the present invention may be an image processing method in the image processing apparatus, an image processing program for causing a computer to execute the image processing method, or a recording medium on which the image processing program is recorded. .

  According to the present invention, it is possible to provide an image processing apparatus, an image processing method, an image processing program, and a recording medium that can appropriately determine text information included as an image in image data.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram illustrating a configuration example of a security management system according to an embodiment of the present invention. In FIG. 1, the security management system 1 is configured by connecting a document server 20, a multi-function device 50, and a security attribute estimation server 10 via a network such as a LAN (whether wired or wireless). ing. It is assumed that the document server 20, the multi-function device 50, the security attribute estimation server 10 and the like are configured in a space where the confidentiality of information should be maintained, such as in the same company or office.

  The document server 20 constitutes a so-called document management system together with one or more clients (clients 22a and 22b, etc.), and various kinds of electronic document data (hereinafter simply referred to as “documents”) uploaded from the client 22a or the like. It has a document DB 21 that manages attribute values in association with each other. The document server 20 transmits (uploads) the document and the attribute value of the security attribute (hereinafter referred to as “security attribute value”) to the security attribute estimation server 10 periodically or whenever the document is uploaded from the client 22a or the like. To do.

  Here, the security attribute refers to an attribute that affects security management, such as an attribute used for determining access control for a document among attributes associated with the document. Specifically, depending on which attribute you want to protect the document in operation, for example, belonging (the department in the company, that is, the management scope of the manager), the type of document (HR related, accounting related, etc. Project related, etc.), related parties, related groups, secret level (confidential, confidential, internal secret, group confidential, etc.), confidentiality expiration date (time limit for maintaining the confidential level), expiration date (the document is valid) And the storage expiration date (a time limit for storing a document that is required to be stored by law).

  Note that access control based on security attributes is described in detail in Japanese Patent Application Laid-Open Nos. 2004-0944401, 2004-094405, 2004-102635, and 2004-102907. As is clear from these publications, access control to a document is determined by applying a security attribute value to a predetermined security policy. Therefore, in the present embodiment, the security attribute value corresponds to security information.

  The multi-function device 50 is a device in which functions such as a printer, a FAX, a copy, and a scanner are mounted in one housing. However, it is not always necessary to be a multifunction device, and it may be a device having any one function. In order to prevent leakage of information contained in a confidential document, the multi-function device 50 transfers the image data read from the manuscript at the time of copying, scanning, or FAX transmission to the security attribute estimation server 10, In accordance with the security attribute value estimation result returned from the security attribute estimation server 10, whether or not copying, scanning or FAX transmission is permitted is determined.

  The security attribute estimation server 10 corresponds to an image processing apparatus that determines text information included as an image in predetermined image data in the present embodiment. More specifically, the security attribute estimation server 10 stores the text information extracted from the document transmitted from the document server 20 and the security attribute value of the document in the text information DB 11. Also, the security attribute estimation server 10 compares the text information extracted from the image data transmitted from the multi-function device 50 with the text information of each document stored in the text information DB 11 to store the stored text. Text information that is the same as or similar to the image data is specified from the information. Further, the security attribute estimation server 10 estimates a security attribute value to be applied to the image data based on the security attribute value for the document related to the specified text information. The estimated security attribute value is transmitted to the multi-function device 50 as an estimation result. The multi-function device 50 determines whether or not copying, scanning, or FAX transmission is permitted based on the security attribute value as the estimation result.

  In other words, let's apply security information such as access authority set for documents that are the same as or similar to image data to the image data, thereby preventing leakage of information due to unimportant reading of important documents etc. That is why.

  The security attribute estimation server 10 will be described in more detail. FIG. 2 is a diagram illustrating a functional configuration example of the security attribute estimation server according to the embodiment of the present invention. In FIG. 2, the security attribute estimation server 10 includes a text information DB 11, a text information storage unit 12, and a security attribute estimation unit 13.

  The text information storage unit 12 has a main function of accumulating documents and security attribute values transmitted from the document server 20 in the text information DB 11, and includes a data receiving unit 121, a text information extracting unit 122, and an image information forming unit 123. The error recognition information extraction unit 124, the data storage unit 125, the data transmission unit 126, and the like.

  The data receiving unit 121 receives a document and its security attribute value. The data receiving unit 121 outputs the document to each of the text information extracting unit 122 and the image information forming unit 123, and outputs the security attribute value to the data storage unit 125.

  The text information extraction unit 122 extracts text information included as a symbol from the document, and outputs the extracted text information to the misrecognition information extraction unit 124 and the data storage unit 125. Here, “text information included as a symbol” is a word for “text information included as an image” to be described later, and is recorded in a document by information for identifying the character itself, such as a character code. Text information.

  Extraction of text information included as symbols may be performed using existing software or tools. For example, in the case of an MS Word document, the text information can be obtained by reading the document with MS Word and selecting a text document as a file type to be saved. If it is an MS Powerpoint document, it may be saved once in RTF (Rich Text Format) format after being read, and further saved in text using MS Word. Further, text information can be obtained by using software that supports not only MS documents but also Ichitaro documents, PDF documents, and the like.

  The data information extracting unit 122 also extracts text information from the image data formed based on the document by the image information forming unit 123 and outputs the extracted text information to the misrecognition information extracting unit 124. Extraction of text information from image data uses a commonly used OCR (Optical Character Recognition) technique. The text information extracted from the document by the data information extraction unit 122 is hereinafter referred to as “text information from the document”, and the text information extracted from the image data is hereinafter referred to as “text information from the image”.

  The image information forming unit 123 generates image data based on the document. Specifically, the image information forming unit 123 generates image data based on a document by performing an image forming process similar to that of a printer device or the like. It is desirable that the image forming process by the image information forming unit 123 corresponds to each model of all printer apparatuses that can output the document. For example, the printer type (laser, inkjet, etc.), manufacturer, etc. It only needs to correspond to a typical one.

  The misrecognition information extraction unit 124 detects misrecognition due to OCR by comparing text information from a document with text information from an image. That is, text information from a document is treated as a correct recognition result, and it is determined whether or not there is a part different from the former regarding text information from an image. The misrecognition information extraction unit 124 associates the text information from the document to be compared with the text information from the image and outputs the misrecognition information extraction unit 124 as the misrecognition information to the data storage unit 125 when misrecognition is detected. .

  The data storage unit 125 includes the security attribute value output from the data reception unit 121, the text information from the document extracted from the text information extraction unit 122, and the erroneous recognition information output from the erroneous recognition information extraction unit 124. It is associated and registered in the text information DB 11.

  The data transmission unit 126 returns a series of processing results to the document server 20.

  On the other hand, the security attribute estimation means 13 has a main function of estimating a security attribute value for image data transferred from the multi-function device 50 based on information stored in the text information DB 11. A text information extraction unit 132, a similarity calculation unit 133, a data reading unit 134, a security attribute estimation unit 135, a data transmission unit 136, and the like are included.

  The data receiving unit 131 receives image data from the multi-function device 50. The text information extraction unit 132 uses the OCR technique to extract text information included as an image from the image data. The similarity calculation unit 133 compares the text information extracted by the text information extraction unit 132 (hereinafter referred to as “target text”) with the text information from the document stored in the text information DB 11, and the similarity between the two. Calculate the degree.

  The data reading unit 134 reads text information and misrecognition information from the document from the text information DB 11 in response to a request from the similarity calculation unit 133, or security from the text information DB 11 in response to a request from the security attribute estimation unit 135. Read attribute values. The security attribute estimation unit 135 estimates a security attribute value to be applied to the image data related to the target text according to the similarity calculated by the similarity calculation unit 133. The data transmission unit 136 returns the estimation result by the security attribute estimation unit 135, that is, the security attribute value to be applied to the image data, to the multi-function device 50.

  The data receiving unit 121 and the data receiving unit 131, and the data transmitting unit 126 and the data transmitting unit 136 may use the same ones. In addition, data transmission / reception by the data reception unit 121, the data transmission unit 126, the data reception unit 131, the data transmission unit 136, and the like, that is, communication between the security attribute estimation server 10, the document server 20, and the multi-function device 50 is performed using HTTP. SOAP (Simple Object Access Protocol) using (HyperText Transfer Protocol) and XML may be used.

  FIG. 3 is a diagram illustrating a hardware configuration example of the security attribute estimation server according to the embodiment of the present invention. The security attribute estimation server 10 of FIG. 3 includes a drive device 100, an auxiliary storage device 102, a memory device 103, an arithmetic processing device 104, and an interface device 105, which are mutually connected by a bus B. Composed.

  A program that realizes processing in the security attribute estimation server 10 is provided by a recording medium 101 such as a CD-ROM. When the recording medium 101 on which the program is recorded is set in the drive device 100, the program is installed from the recording medium 101 to the auxiliary storage device 102 via the drive device 100.

  The auxiliary storage device 102 stores the installed program and also stores necessary files and data. The memory device 103 reads the program from the auxiliary storage device 102 and stores it when there is an instruction to start the program. The arithmetic processing unit 104 executes a function related to the security attribute estimation server 10 in accordance with a program stored in the memory device 103. The interface device 105 is used as an interface for connecting to a network.

  The processing procedure of the security management system 1 will be described below. FIG. 4 is a sequence diagram for explaining processing at the time of uploading a document and a security attribute value from the document server.

  In step S <b> 101, the document server 20 transmits the document and its security attribute value to the security attribute estimation server 10. This step is appropriately executed as necessary when a document is uploaded to the document server 20 or when a document stored in the document DB 21 of the document server 20 is updated. In addition, a single document is not necessarily a target, and a plurality of documents and their security attribute values can be transmission targets.

  The data receiving unit 121 of the security attribute estimation server 10 that has received the document and its security attribute value outputs the document to the text information extracting unit 122 and the image information forming unit 123, respectively (S102, S105). Is output to the data storage unit 123 (S112).

  The text information extraction unit 122 that has received the document extracts text information included as a symbol from the document (text information from the document, expressed as “text information A” in the drawing) (S103), and the extracted text The information is output to the data storage unit 123 (S104).

  The image information forming unit 123 generates image data by image forming processing based on the document (S106), and outputs the generated image data to the text information extracting unit 122 (S107). The text information extraction unit 122 that has received the image data from the image information forming unit 123 uses the OCR technique to include text information (text information from the image, “text information B” in the figure) included as an image from the image data. Are extracted (S108). The text information extraction unit 122 outputs the text information from the extracted image to the misrecognition information extraction unit 124 together with the text information from the document extracted in step S103 (S109).

  The misrecognition information extraction unit 124 compares the text information from the document with the text information from the image to determine the presence or absence of misrecognition due to OCR in the text information from the image (S110).

  More specifically, the misrecognition information extraction unit 124 divides each of the text information from the document and the text information from the image into one or more blocks (hereinafter referred to as “key blocks”) according to a predetermined rule. By comparing both character strings for each block, the presence or absence of erroneous recognition is determined in units of key blocks. That is, if the character strings do not match, it is determined that the text information from the image related to the key block has a misrecognition.

As the unit of the key block, for example, the following can be considered.
(1) The entire text information is directly used as one key block. In this case, the text information is not divided.
(2) A line feed code is used as a key block delimiter. In this case, the text information is divided for each line feed code to form a key block.
(3) Symbols used in ordinary documents such as punctuation marks, punctuation marks, commas, periods, and quotation marks are used as key block delimiters.
(4) Tabs and spaces are used as key block delimiters.

  Any one of the above (1) to (4) may be performed, or two or more may be combined. In addition, instead of the simple divisions as listed in (1) to (4), it is possible to determine a noun by morphological analysis and use the noun as a key block.

  The misrecognition information extraction unit 124 associates the text information from the document related to the key block with the text information from the image and outputs it to the data storage unit 125 as misrecognition information for the key block in which the misrecognition is detected. Note that if misrecognition is detected for a plurality of key blocks, a plurality of misrecognition information is output to the data storage unit 125. That is, the misrecognition information constitutes a correspondence table between correct recognition results and misrecognition results in key block units.

  Subsequently, the data storage unit 125, the security attribute value output from the data reception unit 121, the text information from the document extracted from the text information extraction unit 122, and the erroneous recognition information output from the erroneous recognition information extraction unit 124. Are registered in the text information DB 11 (S113, S114), and information indicating the processing result, for example, whether normal termination or abnormal termination is output to the data transmission unit 126 (S115). The data transmission unit 126 transmits information indicating the processing result to the document server 20 (S116), and a series of processing ends.

  In this way, by extracting text information from a document in the document server 20 in advance and storing the extracted text information in the text information DB 11 in association with the security attribute value, each time a security attribute value estimation process described later is performed. In addition, it is not necessary to acquire a document or the like from the document server 20 and extract text information from the document, so that the security attribute value estimation process can be speeded up.

  In the image data generation process in step S106, it is preferable to generate a plurality of pieces of image data having different image characteristics from one document by using respective image forming processes by a plurality of types of printer apparatuses. In that case, in step S108, text information is extracted from each image data having different image characteristics, and in step S110, determination of misrecognition and misrecognition information are performed on the text information extracted from each image data having different image characteristics. Preferably it is produced.

  Further, the image data generated in step S106 is simulated for image change based on image processing by the scanner device, and image data close to what is actually printed and scanned in the multi-function device 50 is generated. Then, text information may be extracted from the image data.

  Further, the image data actually read by the scanner from the actually printed document may be stored in the document DB 21 together with the document, and the text information may be extracted from the image data stored in the document DB 21.

  In any case, it is preferable to prepare image data based on all the settings assumed to be performed by the user at the time of printing or scanning.

  Next, a process in which the security attribute estimation server 10 estimates the security attribute value of image data transferred from the multi-function device 50 using information stored in the text information DB 11 will be described. FIG. 5 is a sequence diagram for explaining a security attribute value estimation process for image data read by the multifunction machine.

  In step S <b> 121, the multi-function device 50 transmits a security attribute value estimation request for the image data together with the scanned image data to the security attribute estimation server 10. The transmission of the image data may be performed at any time when the scan is executed by the scanner or the copy function, or may be performed at a timing when the scanned image data is accumulated to some extent or periodically for a plurality of image data. Good.

  Progressing to step S122 following step S121, the data receiving unit 131 of the security attribute estimation server 10 outputs the received image data to the text information extracting unit 132 (S122). The text information extraction unit 132 extracts text information from the image data using the OCR technique (S123), and outputs the extracted text information (target text) to the similarity calculation unit 133 (S124). When the similarity calculation unit 133 requests the data reading unit 134 to read the text information and the misrecognition information from the document (S125), the data reading unit 134 may include a part or all of the data stored in the text information DB 11. Text information and misrecognition information from the document are read (S126), and output to the similarity calculation unit 133 (S127).

  The similarity calculation unit 133 calculates the similarity between the target text and the text information from each document using the misrecognition information (S128), and outputs the calculated similarity to the security attribute estimation unit 135. (S129). Details of the similarity calculation processing by the similarity calculation unit 133 will be described later.

  Based on the similarity, the security attribute estimation unit 135 identifies text information (hereinafter referred to as “reference text”) from a reference document for estimating the security attribute value of the target text, and the security attribute of the reference text The data reading unit 134 is requested to read the value (S130). As will be described later, the reference text is not limited to one.

  The data reading unit 134 reads the security attribute value associated with the reference text from the text information DB 11 (S131), and outputs it to the security attribute estimation unit 135 (S132). The security attribute estimation unit 135 estimates a security attribute value to be applied to the target text based on the read security attribute value according to a predetermined method (hereinafter referred to as “estimation method”) (S133), The security attribute value applied to the target text is output to the data transmission unit 136 (S134). The data transmission unit 136 transmits the estimated security attribute value to the multi-function device 50 (S135), and the process ends.

  The multi-function device 50 that has received the estimation result obtains access right information for the document having the security attribute value based on the estimated security attribute value, determines the access right by itself, or reports the estimation result to the document. The manager is notified, and the response to the copy or scan request is controlled using the response. For example, you can delete scanned image data, stop copying, send scan data to an administrator, save scan data in association with a log, send an alert to an administrator, A warning may be displayed. Each of these may be performed alone or in combination.

The calculation of the similarity between the target text and the text information from each document (S128) by the similarity calculation unit 133 in FIG. 5 will be described. The similarity may be calculated using various known techniques. For example, the similarity may be calculated as follows. First, the target text is divided into one or more key blocks. The unit of the key block here needs to be the same as the unit of the key block used in step S110 described above. Therefore, the information defining the key block unit needs to be stored in a storage area accessible from both the text information storage unit 12 and the security attribute estimation unit 13.

  Subsequently, each key block of the target text is compared with key blocks of text information from all images in the misrecognition information. Here, when text information from an image is extracted from a plurality of image data having different image characteristics, it is preferable to perform comparison with text information from each image.

  As a result of the comparison, if the two match, the key block of the target text is replaced by the OCR by replacing the key block of the text information from the document associated with the key block of the text information from the image data in the misrecognition information. Absorb misrecognition by

  After the above processing, the similarity between the target text and the text information from the document is obtained by the following formula.

各変数の意味は以下の通りである。
S_i： i番目の保存テキストに対する類似度
BF：対象テキストから抽出されたキーブロック数
WBj：j番目のキーブロックの文字数
BA_ij： i番目の保存テキストに含まれているj番目のキーブロック数
WA_i： i番目の保存テキストの文字数
N：テキスト情報ＤＢ１１に蓄積されている保存テキストの数
なお、対象テキスト全体を一つのキーブロックとした場合は、文書の内容全文が複合機５０においてコピー等されようとしている場合は、類似度は「１」となる。

The meaning of each variable is as follows.
S _i : Similarity to the i-th stored text
BF: Number of key blocks extracted from the target text
WBj: Number of characters in the jth key block
BA _ij : Number of the jth key block contained in the i th saved text
WA _i : Number of characters in the i-th stored text
N: Number of stored texts stored in the text information DB 11 If the entire target text is a single key block, if the entire text of the document is about to be copied by the multi-function device 50, the similarity is “1”.

In FIG. 5, the estimation method used when the security attribute value is estimated by the security attribute estimation unit 135 (S133) may be as follows, for example.
(1) The security attribute value of the document related to the text information from the document having the highest similarity is estimated as the security attribute value of the target text as it is.
(2) Estimate the security attribute value of the target text that is the most strict as the security attribute value among the security attribute values of the documents related to the text information from the top few documents with similarities.
(3) The average value of the security attribute values of the documents related to the text information from the several documents with the highest similarity is estimated as the security attribute value of the target text.
(4) A list of security attribute values of documents related to text information from a few documents with the highest similarity is estimated as the security attribute value of the target text. That is, a plurality of security attribute value candidates are directly notified to the next process (in this case, the multi-function device 50), and finally how to use them is left to the next process.

  As for (1) to (4), any one method may be used, but it may be selected according to the target security attribute. That is, when the secret level is defined linearly as, for example, level 1, level 2, and level 3, it is considered that the methods (2) and (3) are often appropriate. In addition, when the security attribute is a secret retention period, an expiration date, or a storage period, it is considered that the method (2) is often appropriate. On the other hand, when the security attribute is such as affiliation, type, party, relationship group, etc., it is considered that the method (1) or (4) is often appropriate.

  As described above, according to the security attribute estimation server 10 in the embodiment of the present invention, “text information from a document” and “text information from an image” are managed in association with each other in a document managed in the document DB 21. Keep it. When determining the similarity between the image data read by the multi-function device 50 and the document managed in the document DB 21, the text information extracted by the OCR from the image data read by the multi-function device 50, and “from image” If the text information is compared with each other and the two match or are similar, the former text information is treated as “text information from the document”, so that misrecognition by OCR can be absorbed. Therefore, the dependency on the recognition rate of OCR can be reduced in the similarity determination, and the text information included as an image in the image data can be appropriately determined. Therefore, the accuracy of the similarity determination can be improved, and as a result, document security information more suitable for the image data can be applied to the image data.

  As mentioned above, although the Example of this invention was explained in full detail, this invention is not limited to the specific embodiment which concerns, In the range of the summary of this invention described in the claim, various deformation | transformation * It can be changed.

It is a figure which shows the structural example of the security management system in embodiment of this invention. It is a figure which shows the function structural example of the security attribute estimation server in embodiment of this invention. It is a figure which shows the hardware structural example of the security attribute estimation server in embodiment of this invention. FIG. 10 is a sequence diagram for explaining processing when uploading a document and a security attribute value from a document server. FIG. 11 is a sequence diagram for explaining security attribute value estimation processing for image data read by a multi-function peripheral.

Explanation of symbols

1 Security Management System 10 Security Attribute Estimation Server 11 Text Information DB
12 Text information storage means 13 Security attribute estimation means 20 Document server 21 Document DB
50 MFPs 22a and 22b Client 100 Drive device 101 Recording medium 102 Auxiliary storage device 103 Memory device 104 Processing unit 105 Interface device 121 Data receiving unit 122 Text information extracting unit 123 Image information forming unit 124 False recognition information extracting unit 125 Data storage Unit 126 data transmission unit 131 data reception unit 132 text information extraction unit 133 similarity calculation unit 134 data reading unit 135 security attribute estimation unit 136 data transmission unit B bus

Claims (9)

An image processing apparatus determines the text information included as an image images data,
Receiving means for receiving document data including first text information as a symbol, and a value of a security attribute that is an attribute used when determining access control of the document data;
Document text acquisition means for acquiring the first text information from the document data;
Document image generating means for generating a plurality of image data having different image characteristics based on one document data;
Image text acquisition means for extracting second text information by optical character recognition from each of a plurality of image data generated by the document image generation means;
Said first text information, and a plurality of the second text information, and holding means for holding in association with the value of the security attribute,
Text information extraction means for extracting third text information by optical character recognition from image data received with the request in response to a request for the value of the security attribute ;
Wherein a third of the text information, based on a comparison between the plurality of second text information held in said holding means, the text information contained in the pre-outs image data the second text information a determination unit that the said first text information associated with,
Based on a result of the determination means, a transmission means for transmitting a value of a security attribute associated with the first text information to the request source;
An image processing apparatus comprising: Comparing the previous SL first text information and the second text information, registers the said first text information and the second text information in said holding means in association with the case where both the text information does not match the image processing apparatus according to claim 1, wherein a registering means. The registration means compares both text information for each predetermined unit constituting each of the first text information and the second text information, and registers the information in the holding means for each predetermined unit. The image processing apparatus according to claim 2 . The image processing apparatus according to claim 3 , wherein the determination unit compares the third text information with the second text information for each predetermined unit. The determination means is associated with the value of the security attribute that is the strictest among the first text information that is associated with the second text information having higher similarity with the third text information. The image processing apparatus according to claim 1, wherein the first text information is determined to be text information included in the image data. When the security attribute is any one of a confidentiality expiration date, an expiration date, and a storage expiration date, the determination unit determines that the second text information having a higher similarity to the third text information is higher. 6. The first text information associated with the strictest value of the security attribute among the associated first text information is determined to be text information included in the image data. The image processing apparatus described. An image processing method that determines the text information included as an image on a computer Gae image data,
A reception procedure for receiving document data including first text information as a symbol and a value of a security attribute that is an attribute used when determining access control of the document data;
A document text acquisition procedure for acquiring the first text information from the document data;
A document image generation procedure for generating a plurality of image data having different image characteristics based on one document data;
Image text acquisition procedure for extracting second text information by optical character recognition from each of a plurality of image data generated by the document image generation procedure;
Said first text information, and a plurality of the second text information, a holding procedure to hold in association with the value of the security attribute,
A text information extraction procedure for extracting third text information by optical character recognition from image data received together with the request in response to a request for the value of the security attribute ;
Wherein a third of the text information, based on a comparison between the plurality of second text information held by the holding procedure, text information contained in the pre-outs image data the second text information a determination procedure is the first text information associated with,
A transmission procedure for transmitting a value of a security attribute associated with the first text information to the request source based on a result of the determination procedure;
An image processing method comprising: An image processing program for executing the determination of the text information included as an image in the images data to the computer,
A reception procedure for receiving document data including first text information as a symbol and a value of a security attribute that is an attribute used when determining access control of the document data;
A document text acquisition procedure for acquiring the first text information from the document data;
A document image generation procedure for generating a plurality of image data having different image characteristics based on one document data;
Image text acquisition procedure for extracting second text information by optical character recognition from each of a plurality of image data generated by the document image generation procedure;
Said first text information, and a plurality of the second text information, a holding procedure to hold in association with the value of the security attribute,
A text information extraction procedure for extracting third text information by optical character recognition from image data received together with the request in response to a request for the value of the security attribute ;
Wherein a third of the text information, based on a comparison between the plurality of second text information held by the holding procedure, text information contained in the pre-outs image data the second text information a determination procedure is the first text information associated with,
A transmission procedure for transmitting a value of a security attribute associated with the first text information to the request source based on a result of the determination procedure;
An image processing program comprising: A computer-readable recording medium on which the image processing program according to claim 8 is recorded.

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