JP2011065255A - Data processing apparatus, data name generation method and computer program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a data processing apparatus, a data name generation method and a computer program for generating a data name with which it is easy to guess the content of a document for optional image data generated by scanning a document original. <P>SOLUTION: The data processing apparatus 1 is configured to determine whether a position in the image of a region including a character string is pertinent to position conditions showing a position where phrases expressing the content of a document such as a title are arranged in the document, and to extract phrases meant by the character string included in the region pertinent to position conditions, and to generate a data name including the extracted phrases. Also, the data processing apparatus 1 is configured to perform the morphemic analysis of the document, and to, when a character string linked to a keyword in the document or a character string including a morpheme whose use frequency is low in the document is pertinent to the character string conditions determining conditions that the character string is a noun phrase, extract phrases meant by the pertinent character string, and to generate a data name including the extracted phrases. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a method for managing image data generated by scanning a document document, and more particularly to a data processing apparatus, a data name generation method, and a computer program that automatically generate data names of image data.

  As a method for storing various types of documents, there is a method in which image data of a document is generated by reading an image of the document with a scanner, and the generated image data is stored in a storage device such as a server device. From the stored image data, a document can be created when necessary. When image data generated from a document is stored in this way, a process of automatically generating a data name of the image data and assigning the generated data name to the image data may be performed. Patent Document 1 discloses a data name using a character string surrounded by blanks in a document, a title name registered in advance for a standard document, or a character string specified by a user from a character string extracted from the document. Techniques for generating are disclosed. Patent Document 2 discloses a technique for generating a data name using a character string following a predetermined character, a relatively large character string, or a character string having a predetermined color.

JP 2006-252455 A JP 2005-56315 A

  In the techniques disclosed in Patent Documents 1 and 2, a character string cannot be extracted from image data that does not satisfy a condition for extracting a character string used for a data name, and a data name can be generated. There is a problem that it is difficult. In the techniques disclosed in Patent Documents 1 and 2, uniform or formal words are easily selected as the data name, and it is difficult to obtain the data name reflecting the contents of the document. For this reason, when selecting a document from a list of data names, there is a problem that it is difficult to guess the contents of the document from uniform or formal data names, and it is difficult to select an appropriate document.

  The present invention has been made in view of such circumstances, and the object of the present invention is to generate data names using words according to the content of the document, thereby easily estimating the content of the document. It is an object to provide a data processing apparatus, a data name generation method, and a computer program that can generate names for arbitrary image data.

  A data processing apparatus according to the present invention includes a means for recognizing characters included in an image represented by image data and a recognized character in a data processing apparatus that performs processing for generating a data name of image data. A phrase extracting unit that extracts a phrase representing the content of the document from the document, and a unit that generates a data name including the extracted phrase as the data name of the image data.

  The data processing apparatus according to the present invention further comprises means for storing a position condition indicating a position where a word representing the content of the document is arranged in the document, and the word extracting means is based on an image represented by image data. Means for extracting a region including a character string separated from other characters; means for determining whether or not the position of the extracted region in the image satisfies the stored position condition; Means for extracting a word or phrase meaning a character string included in the area when the position of the area satisfies the position condition.

  A data processing apparatus according to the present invention includes: a keyword that is included in a document accompanying a phrase that represents the content of the document; a unit that stores a relative position of the phrase with respect to the keyword in the document; and one or a plurality of morphemes Means for storing a character string condition that defines a morpheme type and order condition for a character string to be a noun phrase, and the phrase extraction means performs a morphological analysis of a document obtained from image data Means for identifying the stored keyword from the document subjected to morphological analysis, and extracting a character string arranged in the document at a relative position stored for the identified keyword Means for determining whether or not the extracted character string satisfies the stored character string condition, and when the extracted character string satisfies the character string condition, And having a means for extracting phrases that serial string means.

  The data processing apparatus according to the present invention further comprises means for storing a character string condition that defines a morpheme type and order condition for a character string composed of one or a plurality of morphemes to be a noun phrase, and the phrase extracting means Means for performing morphological analysis of a document obtained from image data, means for determining the frequency of use of each morpheme included in the document subjected to morphological analysis in the document, and morpheme in ascending order of the determined usage frequency. Means for extracting a character string including the selected morpheme from the document, means for determining whether or not the extracted character string satisfies the stored character string condition, And means for extracting a word or phrase that means the character string when the extracted character string meets the character string condition.

  The data processing apparatus according to the present invention includes means for storing a position condition indicating a position where a word representing the document content is arranged in the document, and a keyword included in the document accompanying the word representing the document content. , And means for storing the relative position of the phrase with respect to the keyword in the document, and storing a character string condition that defines the morpheme type and order conditions for a character string consisting of one or more morphemes to be a noun phrase Means for extracting a region including a character string separated from other characters from an image represented by image data, and a position of the extracted region in the image. Means for determining whether or not the stored position condition is satisfied, and a word meaning the character string included in the area when the position of the area corresponds to the position condition And means for extracting a morphological analysis of a document obtained from the image data when the position of the region does not satisfy the position condition, and storing the morphological analysis from the document. Means for specifying the keyword; means for extracting a character string arranged in the document at a relative position stored for the specified keyword when the keyword can be specified; and an extracted character string. Means for determining whether or not the stored character string condition is met, means for extracting a word or phrase that the character string means when the extracted character string meets the character string condition, In the document of each morpheme included in the document subjected to morphological analysis when the keyword cannot be specified from the document, or when the extracted character string does not meet the character string condition Means for obtaining usage frequency, means for selecting morphemes in ascending order of usage frequency obtained, means for extracting a character string including the selected morpheme from the document, and the extracted character string corresponds to the character string condition Means for determining whether or not to perform, and means for extracting a phrase that the character string means when the extracted character string meets the character string condition.

  A data name generation method according to the present invention is a data name generation method for generating a data name of image data. It is characterized in that a phrase representing the content of the document is extracted and a data name including the extracted phrase is generated.

  A computer program according to the present invention is a computer program for causing a computer to execute a process of generating a data name of image data, and a procedure for causing a computer to recognize characters included in an image represented by image data. A procedure for causing a computer to extract a word representing the content of a document from a document composed of recognized characters, and a procedure for causing the computer to generate a data name including the extracted word as a data name of the image data It is characterized by including.

  In the present invention, the data processing apparatus extracts a word representing the content of the document from a document composed of characters included in the image represented by the image data, and generates a data name including the extracted word. . As a result, a data name corresponding to the content of the document is given to the image data.

  Also, in the present invention, the data processing apparatus determines whether the position in the image including the character string corresponds to a position condition indicating a position where a word or phrase representing the content of the document such as a title is arranged in the document. The word representing the content of the document is extracted by determining whether or not, and extracting the word / phrase indicated by the character string included in the area corresponding to the position condition.

  In the present invention, the data processing apparatus performs morphological analysis of the document, specifies a keyword associated with a word representing the content of the document in the document, extracts a character string connected to the specified keyword, and uses it as a noun phrase. Judges whether or not the extracted character string meets the character string condition that defines the type and order of morphemes contained in the recognizable character string, and extracts the words and phrases that the character string corresponding to the character string condition means As a result, a word representing the contents of the document is extracted.

  In the present invention, the data processing apparatus performs morphological analysis of the document, obtains the frequency of use of each morpheme in the document, extracts a character string including a morpheme having a low usage frequency, and the extracted character string is a character string. It is determined whether or not the condition is satisfied, and a phrase representing the contents of the document is extracted by extracting a phrase that the character string corresponding to the character string condition means.

  In the present invention, the data processing device extracts a word or phrase meaning a character string when the position in the image of the region including the character string corresponds to the position condition, and the position does not correspond to the position condition. In addition, when the morphological analysis of the document is performed and the character string connected to the keyword in the document meets the character string condition, the phrase that the character string means is extracted, and when there is no keyword or the character string becomes the character string condition When not applicable, the frequency of use of each morpheme in the document is obtained, and when a character string including a morpheme with a low use frequency meets the character string condition, the word meaning of the character string is extracted. Extract words that represent content.

  In the present invention, a data name corresponding to the content of the document is generated from the image data generated by reading the document original, and the generated data name is given to the image data, so that the image data is used thereafter. In this case, it is easy to infer the contents of the document that can be reproduced from the image data from the data name, and the user can easily select an appropriate document according to the application. Play.

2 is a block diagram showing an internal functional configuration of the data processing apparatus of the present invention according to Embodiment 1. FIG. It is a conceptual diagram which shows the example of the content of a position condition table. It is a conceptual diagram which shows the example of the content of a keyword table. It is a conceptual diagram which shows the example of the content of a morpheme connection table. 3 is a flowchart illustrating a procedure of processing executed by the data processing apparatus according to the first embodiment. 3 is a flowchart illustrating a procedure of processing executed by the data processing apparatus according to the first embodiment. It is a flowchart which shows the process sequence of the subroutine of a position condition determination process. It is a flowchart which shows the process sequence of the subroutine of a keyword concatenated character string extraction process. It is a flowchart which shows the process sequence of the subroutine of a character string determination process. It is a block diagram which shows the internal structure of the data processor of this invention which concerns on Embodiment 2. FIG.

Hereinafter, the present invention will be specifically described with reference to the drawings showing embodiments thereof.
(Embodiment 1)
FIG. 1 is a block diagram showing an internal functional configuration of the data processing apparatus according to the first embodiment of the present invention. The data processing device 1 includes a control unit 11 including a CPU that performs arithmetic operations, a ROM that stores a control program necessary for the operation of the data processing device 1, a RAM that stores temporary data associated with the arithmetic operations, and the like. Connected to the control unit 11 are a ROM 12 for storing data necessary for performing a data name generation process, and a nonvolatile storage unit 13 composed of a hard disk or a nonvolatile memory. The ROM 12 stores a position condition table 121, a keyword table 122, and a morpheme connection table 123, which will be described later. The ROM 12 may have a form storing a control program necessary for the operation of the data processing apparatus 1, and the ROM 12 may be a form incorporated in the control unit 11. The storage unit 13 stores the image data with the data name generated by the data name generation process.

  The control unit 11 includes an image reading unit 14 that optically reads an image recorded on a document document and generates image data, an image memory 15 that temporarily stores image data generated by the image reading unit 14, and a recording An image forming unit 16 that forms an image based on image data is connected to a record carrier such as paper. The control unit 11 is connected to an operation unit 17 that receives various instructions such as an instruction to start image reading by a user operation, and a communication unit 18 that transmits and receives various data to and from the outside. The operation unit 17 includes a display unit such as a liquid crystal panel for displaying information and a reception unit such as a numeric keypad that receives a user operation. The data processing device 1 functions as a scanner device and performs processing for storing the image data generated by the image reading unit 14 in the storage unit 13. The data processing device 1 functions as a storage device for image data, reads image data stored in the storage unit 13, and forms an image in the image forming unit 16 based on the read image data, or read image data Can be transmitted from the communication unit 18 to the outside.

  The data stored in the ROM 12 is data necessary for extracting a phrase representing the content of the document recorded in the image represented by the image data. The position condition table 121 records conditions of a specific character string to be extracted as a word representing the contents of the document for use in the data name among the character strings included in the document. The condition of the position of the character string to be extracted in the document is recorded. FIG. 2 is a conceptual diagram showing an example of the contents of the position condition table 121. The position condition table 121 includes a plurality of position conditions indicating positions where words representing the content of the document such as a document title are arranged in the document in a standard document such as a paper, a letter, a report, or an application. It is recorded. Each of the plurality of position conditions is assigned a serial number in order of priority. The priority of the position condition is determined in accordance with the probability that the character string arranged at the position indicated by the position condition is a word representing the purpose of the contents of the document. As shown in FIG. 2, each position condition specifies a position in the vertical axis direction and a position in the horizontal axis direction of a character string on one image on which a document is recorded.

  In the example shown in FIG. 2, a position condition in which the upper part is designated as the position in the vertical axis direction on the image and the center is designated as the position in the horizontal axis direction is associated with serial number 1. This position condition is based on the fact that the document title is often centered and described at a higher position in the document, so that the document title is extracted as a word representing the purpose of the document content. It is intended. Further, a position condition in which the uppermost row is designated as the position in the vertical axis direction and the left is designated as the position in the horizontal axis direction is associated with the serial number 2. This position condition is to extract the letter address as a word that expresses the purpose of the contents of the letter, based on the fact that the letter address is often written at the leftmost position of the letter. Is intended. In each position condition recorded in the position condition table 121 stored in the ROM 12, the positions in the vertical axis direction and the horizontal axis direction are designated by coordinates. For example, coordinates indicating the upper half range of one image in absolute coordinates or relative coordinates are recorded as coordinates specifying the upper part in the vertical axis direction. Further, for example, as coordinates for designating the center in the horizontal axis direction, coordinates indicating a symmetric range with respect to the center in the horizontal direction are recorded. For other positions such as the uppermost stage or the left, similarly, coordinates indicating positions in absolute coordinates or relative coordinates are recorded.

  The keyword table 122 records keywords that may be described in the document in association with a word representing the content of the document. FIG. 3 is a conceptual diagram showing an example of the contents of the keyword table 122. In FIG. 3, / indicates a morpheme break. A morpheme is the smallest unit that has meaning in linguistics, and is a phoneme that has been divided to the point where it becomes meaningless if it is further decomposed in natural language. The keyword table 122 records a plurality of keywords composed of a single morpheme or a plurality of morphemes. Each of the keywords is numbered sequentially in order of priority, and whether the character string to be extracted as a word representing the content of the document is linked to the position before or after the keyword. The character string concatenation position indicating is associated. The priority of the keyword is determined according to the probability that the character string placed at the position indicated by the position condition is a word representing the purpose of the contents of the document.

  In the example shown in FIG. 3, the keyword “is associated with the serial number 1, the keyword“ is associated with the serial number 2, and the latter is associated as the character string concatenation position. It is intended to extract words enclosed in square brackets based on the fact that words representing the meaning of the contents may be enclosed in square brackets. Are associated with each other and the character string concatenation position is associated with the front. It is intended to extract a word that explains the content of the document based on the fact that the word that describes the content of the document may be described in the document immediately before the keyword “no”. .

  The morpheme concatenation table 123 records the conditions of the character string configuration because the character string is a noun phrase that can be extracted as a word representing the content of the document. FIG. 4 is a conceptual diagram showing an example of the contents of the morpheme connection table 123. The morpheme concatenation table 123 records a plurality of morpheme concatenation conditions that define what kind of morpheme has a structure in which the noun phrase composed of one or a plurality of morphemes is concatenated in what order. When the type and order of the morphemes included in the character string satisfy the morpheme concatenation condition, it can be determined that the character string is a noun phrase. When the character string is a noun phrase, the phrase that the character string means is useful for use as the data name of the image data. Conversely, a character string that is not a noun phrase is inappropriate for the data name. Each of the plurality of morpheme connection conditions recorded in the morpheme connection table 123 is assigned a serial number in order of priority. The priority of the morpheme concatenation condition is determined according to the frequency with which the noun phrase representing the content of the document takes a configuration corresponding to the morpheme concatenation condition. The morpheme concatenation condition corresponds to the character string condition in the present invention.

  In the example shown in FIG. 4, a morpheme concatenation condition that is a condition that a character string composed of a plurality of consecutive morphemes expressed in katakana is connected to a keyword is associated with serial number 1. This morpheme concatenation condition is based on the fact that many words and phrases representing the contents of a document have a structure in which a plurality of morphemes expressed in katakana are continuous. In the example shown in FIG. 4, a character string composed of a case in which a plurality of morphemes whose part of speech is a noun is followed by a case particle morpheme and a plurality of noun morphemes is continuous is connected to the keyword. A morpheme connection condition as a condition is associated with the serial number 2. In addition, a morpheme concatenation condition is associated with the serial number 3 on the condition that a character string composed of a case in which a plurality of nouns are continued and then a case particle is followed by one noun is connected to the keyword. These morpheme concatenation conditions are based on the fact that many words representing the contents of a document are structured such that nouns follow a case particle after nouns continue.

  Next, the data name generation method of the present invention executed by the data processing apparatus 1 of the present invention having the above configuration will be described. The data processing apparatus 1 uses the data name generation method of the present invention to perform a process for generating a data name according to the contents of a document when reading an image and a process for not generating a data name according to the contents of the document. One of the processes is executed. The data processing apparatus 1 can accept an instruction to set a data name generation mode for generating a data name corresponding to the content of the document by the user operating the operation unit 17. The data name generation mode is set by storing information corresponding to the instruction.

  5 and 6 are flowcharts showing a procedure of processing executed by the data processing apparatus 1 according to the first embodiment. The data processing apparatus 1 generates image data by optically reading an image recorded on a document original by the image reading unit 14 (S1). The image data generated by the image reading unit 14 is temporarily stored in the image memory 15. Next, the control unit 11 determines whether or not the data name generation mode is set (S2). When the data name generation mode is not set (S2: NO), the control unit 11 generates a formally unique data name based on the current date and time (S3). In step S3, a process for setting the date and time as a data name, a process for generating a data name listing the current date, time, and extension of image data, or a process for assigning serial numbers as data names in the order in which the image data is generated A unique data name is generated regardless of the contents of the image data. After step S3 is completed, the control unit 11 advances the process to step S12 described later.

  When the data name generation mode is set in step S3 (S2: YES), the control unit 11 performs a process of recognizing the text object in which the character string is recorded from the image represented by the image data (S4). ). In step S4, the control unit 11 recognizes an area where the character string can be recognized in the image as a text object using an existing character recognition technique. In step S4, the control unit 11 recognizes an area including a character string that is separated from another character by a predetermined distance or more as one text object. Recognize one or more text objects. Note that the control unit 11 may perform processing for recognizing a text object in units of one line of a character string or one sentence. Next, the control unit 11 determines whether or not the text object has been recognized from the image in step S4 (S5). If the text object cannot be recognized (S5: NO), the control unit 11 advances the process to step S3.

  If it is determined in step S5 that the text object has been recognized (S5: YES), the control unit 11 determines whether the text object is included in a predetermined range in the image (S6). ). The predetermined range is, for example, the upper half of the image corresponding to the first page of the document document. This is based on the fact that in many cases, the upper half of the first page of a document contains a word representing the purpose of the content of the document, such as the title or address of the document. Further, the predetermined range in this image needs to be a range corresponding to the recorded contents of the position condition table 121 stored in the ROM 12. That is, as the predetermined range, it is necessary to determine a range in which a phrase that expresses the content of the document is often written at the position indicated by the position condition recorded in the position condition table 121. The control unit 11 stores information in which a predetermined range is set in advance. The information indicating the predetermined range may be recorded in the position condition table 121, and the control unit 11 may read out necessary information from the position condition table 121 in step S6. Further, as the predetermined range in the image, other ranges such as the entire image corresponding to the last page of the document original may be set. In this case, the range in which the contents of the position condition table 121 are set. It is necessary to keep the content according to

  If there is a text object in the predetermined range in step S6 (S6: YES), the control unit 11 extracts one or more text objects in the predetermined range in the image (S7). In step S7, the control unit 11 extracts each text object, generates position information indicating the position of the text object in the image by coordinates, adds the position information to the text object, and stores it in the buffer memory. Next, the control unit 11 performs position condition determination processing for determining whether or not the extracted text object corresponds to the position condition recorded in the position condition table 121 (S8).

  FIG. 7 is a flowchart showing a processing procedure of a subroutine of position condition determination processing. The control unit 11 reads the position condition table 121 from the ROM 12 (S81), and selects the first text object from the text objects extracted and stored in the buffer memory (S82). Text objects are in the order in which there is a high probability that the text object will contain a character string representing the meaning of the content of the document, such as the order in which the area occupied in the image is large, or the order in which the text object is positioned higher in the image. Selected. The control unit 11 collates the position conditions recorded in the position condition table 121 with the position information in the text object image in the order of priority (S83). In step S83, the control unit 11 compares the position information of the selected text object with the position in the vertical axis direction and the position in the horizontal axis direction indicated by each position condition recorded in the position condition table 121 in the order of serial numbers. The collation is performed. As a result of the collation, the control unit 11 determines whether or not the position of the selected text object meets any of the position conditions collated in order of priority (S84). When the position of the text object corresponds to any position condition (S84: YES), the control unit 11 extracts the text object by storing the text object corresponding to the position condition in a specific buffer memory ( In step S85, the process returns to the main process.

  When the position of the text object selected in step S84 does not correspond to any position condition (S84: NO), the control unit 11 determines whether or not there is a next text object that has not yet been determined for the position condition. Determine (S86). If there is a next text object that has not yet been determined for position conditions (S86: YES), the control unit 11 selects the next text object (S87), and returns the process to step S83. If there is no next text object that has not yet been determined for the position condition in step S86 (S86: NO), the control unit 11 ends the position condition determination process of step 8 without extracting the text object. Return processing to main processing.

  Next, the control unit 11 determines whether or not a text object corresponding to the position condition has been extracted by the position condition determination process in step S8 (S9). When the text object corresponding to the position condition can be extracted (S9: YES), the control unit 11 performs a process of recognizing the character string included in the extracted text object by performing character recognition on the extracted text object. Perform (S10). Next, the control unit 11 adds unique information about the image data to the word / phrase meaning the recognized character string to generate the data name of the image data (S11). Unique information related to image data is irrelevant to the content of the image data obtained formally, such as the current date, date and time, extension of the image data, or serial number in the order in which the image data was generated. It is unique information. In step S11, a data name including a word representing the purpose of the contents of the document is generated. Also, by including unique information obtained formally in the data name, it is possible to prevent duplication of the data name of the image data, and to use the data name for the formal organization or search of the image data. It becomes possible. After generating the data name in step S3 or S11, the control unit 11 adds the generated data name to the image data stored in the image memory 15, and causes the storage unit 13 to store the image data with the data name (S12). ), The process is terminated.

  If the text object is not included in the predetermined range in the image in step S6 (S6: NO), or if the text object corresponding to the position condition cannot be extracted in step S9 (S9: NO), the control unit 11 performs a process of recognizing characters included in the entire image (S13). In step S13, there is a possibility that the amount of characters may be enormous, but the control unit 11 determines the range in which characters are recognized in the image when the recognized amount of characters exceeds a preset amount. Limited processing may be performed. The character recognized in step S13 is stored in the memory. Next, the control unit 11 performs morphological analysis of a document composed of characters recognized by character recognition (S14). In step S <b> 14, the control unit 11 divides the document into individual morphemes using a morpheme database stored in advance or in the ROM 12, and performs a process of determining the part of speech of each morpheme. Each morpheme consists of one character or a character string. The control unit 11 acquires morpheme information such as morpheme content, morpheme standard form, part of speech, and utilization information for each morpheme by morpheme analysis, and the acquired morpheme information is in the order in which the morpheme appears in the document. A serial number is assigned and stored in the buffer memory.

  Next, the control unit 11 performs a keyword concatenated character string extraction process for extracting a character string concatenated with the keyword recorded in the keyword table 122 from the document subjected to morphological analysis (S15). FIG. 8 is a flowchart showing a processing procedure of a subroutine of keyword concatenated character string extraction processing. The control unit 11 reads the keyword table 122 from the ROM 12 (S151), and searches the keywords recorded in the keyword table 122 in the document in order of priority (S152). In step S152, the control unit 11 selects keywords in order of priority, searches for the selected keyword from the top of the document, and if no keyword is found, selects the next keyword by priority and searches for the keyword. Repeat the process. As a result of the search, when a keyword is found in the document in step S152 (S153: YES), the control unit 11 searches the document from a maximum of N items at the connection position associated with the keyword found in the keyword table 122. Is extracted, and morpheme information of each morpheme constituting the extracted character string is extracted (S154).

  Here, N is the maximum number of morphemes included in the character string that can be recognized as a noun phrase, and the morpheme included in the character string whose structure is defined by the morpheme concatenation condition recorded in the morpheme concatenation table 123 stored in the ROM 12. It is a number greater than the number. The control unit 11 stores a value of N in advance. Note that the value of N may be recorded in the morpheme connection table 123, and the control unit 11 may read the value of N from the morpheme connection table 123 in step S154. In addition, when punctuation marks are included in the character string connected to the keyword, the phrase including punctuation marks is not appropriate as a word representing the content of the document that should be used for the data name, so it is not continuous. A character string in which the morpheme connected to the keyword is extracted. In this case, the character string extracted in step S154 consists of a number of morphemes smaller than N. The control unit 11 stores the extracted character string and morpheme information in the buffer memory, and returns the process to the main process. If no keyword is found in step S153 (S153: NO), the control unit 11 returns the process to the main process without extracting the character string and morpheme information.

  Next, the control unit 11 determines whether or not a character string connected to the keyword has been extracted by the keyword connected character string extraction process in step S15 (S16). When the character string connected to the keyword can be extracted (S16: YES), the control unit 11 determines whether the extracted character string satisfies the morpheme connection condition recorded in the morpheme connection table 123. A determination process is performed (S17).

  FIG. 9 is a flowchart showing a processing procedure of a subroutine for character string determination processing. The control unit 11 reads the morpheme connection table 123 from the ROM 12 (S171), and collates the morpheme connection conditions recorded in the morpheme connection table 123 in the order of priority with the character string extracted in step S15 (S172). In step S172, the control unit 11 performs collation by comparing the morpheme information of each morpheme constituting the extracted character string and each morpheme connection condition recorded in the morpheme connection table 123 in the order of serial numbers. Whether or not the type and order of the morphemes contained in the part connected to the keyword in the character string consisting of a maximum of N morphemes corresponds to the type and order of the morphemes defined in the morpheme concatenation condition Determine. As a result of the collation, the control unit 11 determines whether or not the extracted character string satisfies any of the morpheme concatenation conditions collated in order of priority (S173). If the character string meets any morpheme concatenation condition (S173: YES), the control unit 11 stores the character string in a specific buffer memory, thereby converting the character string as a character string corresponding to the morpheme concatenation condition. Extract (S174), and the process returns to the main process. When the character string meets the morpheme concatenation condition, the character string is a noun phrase. If the character string does not correspond to any morpheme concatenation condition in step S173 (S173: NO), the control unit 11 returns the process to the main process without extracting the character string.

  Next, the control unit 11 determines whether or not a character string corresponding to the morpheme concatenation condition has been extracted by the character string determination process in step S17 (S18). When the character string corresponding to the morpheme connection condition can be extracted (S18: YES), the control unit 11 advances the process to step S11, and performs the processes of steps S11 and S12. Through the processing in step S13 and subsequent steps, a character string that is a noun phrase connected to a keyword is extracted from the document as a character string that represents a word representing the purpose of the content of the document. Based on the extracted character string, the character string of the document is extracted. A data name including a word representing the purpose of the content is generated.

  If the character string connected to the keyword cannot be extracted in step S16 (S16: NO), or if the character string corresponding to the morpheme concatenation condition cannot be extracted in step S18 (S18: NO), the control unit 11 The usage frequency of each morpheme included in the document subjected to morpheme analysis is analyzed (S19). In step S19, the control unit 11 obtains the usage frequency of each morpheme by counting the number of times each morpheme is used in the document. Next, the control unit 11 selects a morpheme having the lowest usage frequency from among the morphemes included in the document (S20), and extracts a character string composed of a maximum of N morphemes including the selected morpheme. (S21). In step S21, a character string composed of a maximum of N morphemes including the selected morpheme and not including punctuation marks is extracted from the character string composed of the selected morpheme and the morpheme connected before and after the morpheme. The control unit 11 extracts morpheme information of each morpheme constituting the extracted character string, and stores the extracted character string and morpheme information in the buffer memory. Of the morphemes used in a document, morphemes that are less frequently used in the document tend to represent the characteristics of the document. You can try to extract words that express the purpose of the content.

  Next, the control part 11 performs a character string determination process about the character string extracted by step S21 (S22). The processing content of the character string determination process in step S22 is the same as that of the character string determination process in step S17, and the control unit 11 determines the type and order of consecutive morphemes including morphemes with low usage frequency according to the morpheme concatenation condition. It is determined whether it corresponds to the type and order of the morpheme. Next, the control unit 11 determines whether or not a character string corresponding to the morpheme concatenation condition has been extracted by the character string determination process in step S22 (S23). When the character string corresponding to the morpheme connection condition can be extracted (S23: YES), the control unit 11 advances the process to step S11 and performs the processes of steps S11 and S12. Through the processing in step S19 and subsequent steps, a character string that is a noun phrase including a morpheme that is less frequently used is extracted from the document as a character string that represents a word representing the purpose of the content of the document, and based on the extracted character string. A data name including a word representing the purpose of the content of the document is generated.

  If the character string corresponding to the morpheme concatenation condition cannot be extracted in step S23 (S23: NO), the control unit 11 uses the morpheme with the next lowest usage frequency among the morphemes included in the document subjected to the morphological analysis. Is selected (S24), and the process returns to step S21. By repeating the processes in steps S21 to S24, it is possible to extract a phrase that includes a morpheme that is less frequently used in the document and expresses the content of the document.

  As described above in detail, the data processing apparatus 1 according to the present embodiment generates image data, and the content of the document from among documents composed of characters included in the image represented by the generated image data. Is extracted, and a data name including the extracted word is generated. Accordingly, image data generated by reading a document original is stored in the data processing apparatus 1 with a data name corresponding to the content of the document regardless of the content of the document. Since the data name of the image data is not uniform or formal, but becomes a data name corresponding to the contents of the document, it can be reproduced from the image data when using the image data stored in the data processing device 1. The contents of the document can be easily estimated from the data name, and the user can easily select an appropriate document according to the application.

  In this embodiment, in order to extract a word representing the purpose of the contents of a document, a process for extracting a character string corresponding to a position condition, a process for extracting a character string connected to a keyword, and a use frequency Although the form which performs the process which extracts the character string containing a low morpheme was shown, the data processor 1 of this invention is not restricted to the form which can perform all the processes. For example, the data processing apparatus 1 may be configured to generate a data name by extracting the character string corresponding to the position condition by executing the processes of steps S1 to S12. The data processing apparatus 1 may be configured to generate a data name by extracting a character string connected to a keyword by executing the processes of steps S1 to S3, S13 to S18, S11, and S12. Further, the data processing apparatus 1 generates a data name by extracting a character string including a morpheme that is less frequently used by executing the processes of steps S1 to S3, S13, S14, S19 to S24, S11, and S12. Form may be sufficient.

  In the present embodiment, the data name is generated for the image data generated by the image reading unit 14, but the data processing apparatus 1 of the present invention is an image transmitted from the outside by facsimile communication or the like. Data may be received and a data name may be generated for the received image data. In the present embodiment, the data processing apparatus 1 includes the image forming unit 16. However, the data processing apparatus 1 of the present invention does not include the image forming unit 16 and functions as a scanner device. It may be a form to do. In this embodiment, the image data with the data name is stored in the storage unit 13. However, the data processing apparatus 1 according to the present invention transmits the image data with the data name from the communication unit 18 to the outside. The image data may be stored in an external storage device. Further, in the present embodiment, the form in which the information processing is mainly executed by the control unit 11 has been described, but the data processing device 1 has a plurality of information processings necessary for the data processing device 1. An information processing circuit may be provided, and information processing may be distributed and executed in each information processing circuit.

(Embodiment 2)
In the second embodiment, a form in which the data processing apparatus of the present invention is realized using a general-purpose computer will be described. FIG. 10 is a block diagram showing the internal configuration of the data processing apparatus 2 according to the second embodiment of the present invention. The data processing device 2 according to the present embodiment is configured using a general-purpose computer such as a PC or a server device, and includes a CPU 21 that performs a calculation, a RAM 22 that stores temporary information generated along with the calculation, A drive unit 23 such as a CD-ROM drive for reading information from a recording medium 3 such as an optical disk or a memory card, and a storage unit 24 such as a hard disk are provided. The CPU 21 causes the drive unit 23 to read the computer program 31 of the present invention from the recording medium 3, and stores the read computer program 31 in the storage unit 24. The computer program 31 is loaded from the storage unit 24 to the RAM 22 as necessary, and the CPU 21 executes processing necessary for the data processing device 2 based on the loaded computer program 31. In addition, a position condition table, a keyword table, and a morpheme connection table are recorded on the recording medium 3, and the position condition table, the keyword table, and the morpheme connection table are read from the recording medium 3 by the drive unit 23 and stored in the storage unit 24. Remembered. The CPU 21 performs a process of reading the position condition table, the keyword table, and the morpheme connection table from the storage unit 24 to the RAM 22 as necessary.

  The data processing apparatus 2 also includes an input unit 25 such as a keyboard or a pointing device for inputting information such as various processing instructions operated by a user, a display unit 26 such as a liquid crystal display for displaying various information, and the like. It has. The data processing device 2 further includes a transmission unit 27 that can be connected to an external communication network (not shown) and a reception unit 28 that is connected to the external input device 4 that inputs image data. The transmission unit 27 is a network card or a modem, and the input device 4 is a scanner device such as a flatbed scanner or a film scanner. The input device 4 optically reads an image recorded on a document original to generate image data, transmits the generated image data to the data processing device 2, and the receiving unit 28 receives the image transmitted from the input device 4. Receive data. Further, the transmission unit 27 can transmit data to the outside by a communication method such as facsimile or e-mail via a communication network (not shown).

  The CPU 21 loads the computer program 31 of the present invention into the RAM 22 and executes processing according to the data name generation method of the present invention in accordance with the loaded computer program 31. That is, when image data is input from the input device 4 at the receiving unit 28, the CPU 21 stores the input image data in the RAM 22, and in accordance with the computer program 31, the steps S2 to S23 described in the first embodiment are performed. By executing the same information processing as the processing, the data name of the image data is generated, and the image data with the data name is stored in the storage unit 24.

  As described above, also in the present embodiment, as in the first embodiment, the data processing device 2 is used to describe the contents of a document from among documents composed of characters included in an image represented by image data. Is extracted, and a data name including the extracted word is generated. The computer program 31 of the present invention may be downloaded from an external server device (not shown) to the data processing device 2 via a communication network such as the Internet or a LAN and stored in the storage unit 24.

1, 2 Data processing device 11 Control unit 12 ROM
121 position condition table 122 keyword table 123 morpheme concatenation table 13, 24 storage unit 14 image reading unit 3 recording medium 31 computer program

Claims (7)

In a data processing apparatus that performs processing for generating a data name of image data,
Means for recognizing characters contained in an image represented by image data;
A phrase extracting means for extracting a phrase representing the content of the document from a document composed of recognized characters;
A data processing apparatus comprising: means for generating a data name including the extracted phrase as a data name of the image data. Means for storing a position condition indicating a position where a word representing the contents of the document is arranged in the document;
The phrase extracting means is
Means for extracting a region containing a character string separated from other characters from an image represented by image data;
Means for determining whether the position of the extracted region in the image satisfies the stored position condition;
The data processing apparatus according to claim 1, further comprising: means for extracting a phrase that is meant by a character string included in the area when the position of the area satisfies the position condition. Means for storing a keyword included in the document accompanying a word representing the content of the document, and a relative position of the word with respect to the keyword in the document;
Means for storing a character string condition that defines a condition of the type and order of the morpheme for the character string composed of one or a plurality of morphemes to be a noun phrase;
The phrase extracting means is
Means for performing morphological analysis of a document obtained from image data;
Means for identifying the stored keyword from the document subjected to morphological analysis;
Means for extracting a character string arranged in the document at a relative position stored for the identified keyword;
Means for determining whether or not the extracted character string satisfies the stored character string condition;
The data processing apparatus according to claim 1, further comprising: a unit that extracts a phrase that the character string means when the extracted character string satisfies the character string condition. Means further comprising means for storing a character string condition that defines a morpheme type and order condition for a character string composed of one or more morphemes to be a noun phrase;
The phrase extracting means is
Means for performing morphological analysis of a document obtained from image data;
Means for determining the frequency of use of each morpheme included in the document subjected to morphological analysis in the document;
Means for selecting morphemes in ascending order of use frequency obtained;
Means for extracting a character string containing the selected morpheme from the document;
Means for determining whether or not the extracted character string satisfies the stored character string condition;
The data processing apparatus according to claim 1, further comprising: a unit that extracts a phrase that the character string means when the extracted character string satisfies the character string condition. Means for storing a position condition indicating a position where a word representing the content of the document is arranged in the document;
Means for storing a keyword included in the document accompanying a word representing the content of the document, and a relative position of the word with respect to the keyword in the document;
Means for storing a character string condition that defines a condition of the type and order of the morpheme for the character string composed of one or a plurality of morphemes to be a noun phrase;
The phrase extracting means is
Means for extracting a region containing a character string separated from other characters from an image represented by image data;
Means for determining whether the position of the extracted region in the image satisfies the stored position condition;
Means for extracting a phrase that is meant by a character string included in the area when the position of the area satisfies the position condition;
Means for performing a morphological analysis of a document obtained from the image data when the position of the region does not satisfy the position condition;
Means for identifying the stored keyword from the document subjected to morphological analysis;
Means for extracting a character string arranged in the document at a relative position stored for the specified keyword when the keyword can be specified;
Means for determining whether or not the extracted character string satisfies the stored character string condition;
Means for extracting a phrase that the character string means when the extracted character string meets the character string condition;
When the keyword cannot be specified from the document, or when the extracted character string does not meet the character string condition,
Means for determining the frequency of use of each morpheme included in the document subjected to morphological analysis in the document;
Means for selecting morphemes in ascending order of use frequency obtained;
Means for extracting a character string containing the selected morpheme from the document;
Means for determining whether or not the extracted character string satisfies the character string condition;
The data processing apparatus according to claim 1, further comprising: a unit that extracts a phrase that the character string means when the extracted character string satisfies the character string condition. In the data name generation method for generating the data name of the image data,
Recognize characters in the image represented by the image data,
Extract words that represent the content of the document from the document that consists of recognized characters,
A data name generation method characterized by generating a data name including an extracted word / phrase. In a computer program for causing a computer to execute processing for generating a data name of image data,
A procedure for causing a computer to recognize characters included in an image represented by image data;
A procedure for causing a computer to extract a word representing the content of a document from a document composed of recognized characters;
A computer program comprising: causing a computer to generate a data name including an extracted word / phrase as a data name of the image data.

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