JP2007033726A - Device, method and program for processing educational material - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To automatically mark and tabulate entered content of true or false judgment even without performing in advance manual input of mark allocation information, etc. about educational materials for education used in educational facilities. <P>SOLUTION: A device for processing an educational material is constituted by providing an image input means 41 for obtaining image data from educational materials for education having answer columns, mark allocation information extraction means 44 for recognizing mark allocation to the answer columns about a mark allocation information entry original based on the image data obtained by the image input means 41, true or false judgment recognition means 45, 46 for extracting entered content of true or false judgment about the educational material for education to which answers to the answer columns and the true or false judgment to the answers are added based on the image data obtained by the image input means 41 and a mark calculation means 47 for marking and tabulating the true or false judgment entered in the educational material for education by mutually associating recognition results of the mark allocation information with extraction results of the true or false judgment. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a teaching material processing apparatus, a teaching material processing method, and a teaching material processing program for handling educational teaching materials used in an educational institution, and more particularly to a teaching material processing device, a teaching material processing method, and a teaching material processing program for scoring the educational teaching material. .

  In general, in educational institutions such as schools and cram schools, educational materials such as test answer sheets and practice question sheets are often used. In other words, it is widely practiced to use an educational material that has a question and its answer column, and to have students fill in the answer on the educational material, and the teacher grades the written answer. ing.

  By the way, for educational materials, there is a strong demand for labor saving in scoring. In order to meet this demand, for example, to save labor in scoring processing, for example, a scoring board and a scoring pen are connected to a personal computer (hereinafter simply referred to as “PC”), and educational materials are provided at predetermined positions on the scoring board. By placing XX with a scoring pen in the placed state, it is possible to input the position information of the answer written on the educational material and the correct / incorrect information to the PC, thereby teaching on the PC There has been proposed a system configured to perform automatic scoring of answers on educational materials (see, for example, Patent Document 1).

JP-A-6-266278

  However, it is not always preferable to use a dedicated component device such as a scoring table or a scoring pen in scoring processing for educational materials. This is because the dedicated component device can cause a complicated configuration of the entire system, an increase in cost, and the like. Moreover, if a dedicated component device is required, the educational materials that can be handled are limited, and the versatility of the educational materials may be limited.

On the other hand, in recent years, it is common for educational institutions to install and use PCs, copiers, or so-called multi-function machines that integrate scan functions, print functions, network communication functions, and the like.
Therefore, for scoring processing of educational materials, for example, educational materials with correct / incorrect entries such as “○” or “×” are read using the scanning function of a copying machine, etc. By performing image processing on image data using an image processing function such as a PC, it is possible to automatically score answers on educational materials without the need for special components. Conceivable. Specifically, when image data is obtained from educational materials, the contents of correctness / incorrectness determination are extracted from the image data, and the correctness / incorrectness determination scores entered in the educational material are collected, and the image data The contents of the name written by the respondent to the educational material are extracted from the above, and the respondent is identified by OCR (Optical Character Reader) technology, etc., and these score summarization results and the respondent identification results are associated with each other. By outputting, an automatic scoring result similar to that disclosed in Patent Document 1 described above can be obtained.

  By the way, in the scoring processing of the educational material as described above, it is necessary to recognize not only the extraction contents of the correct / incorrect determination entry but also the distribution regarding the correct / incorrect determination, that is, the distribution set for the problem. This is because scoring cannot be done if the score for each problem is not known. For this reason, in order to perform scoring processing of educational materials, it is necessary to have information (hereinafter referred to as “scoring information”) that specifies the scoring for each problem.

However, a plurality of questions and their answer columns are arranged on the teaching material for education, and it is general that the points are different from each other. Moreover, there are various types of educational materials, such as by department or by student grade.
Therefore, in the scoring process of educational teaching materials, the scoring information is stored in advance in the scoring system or device and used for the scoring process. In addition, it is not always preferable in consideration of the input effort and the like.

  Therefore, the present invention makes it possible to perform automatic scoring and summarization on the contents of correct / incorrect judgment without manual input of scoring information for educational materials used in educational institutions. It is an object of the present invention to provide a teaching material processing apparatus, a teaching material processing method, and a teaching material processing program capable of realizing labor saving of processing.

  The present invention is an educational material processing apparatus devised to achieve the above object, an image input means for reading an image of an educational material having an answer column and obtaining image data from the educational material, and the answer Based on the image data obtained by the image input means for the original scoring information entry, which is an educational teaching material in which scoring is entered in the column, the scoring content of the scoring is extracted, and the scoring for the answering column and the corresponding answer are extracted. The image input for the teaching material in which the information on the position of the column on the teaching material is recognized as the scoring information in the answer column, and the teaching material in which the answer to the answer column and the correctness / incorrectness determination for the answer are added Based on the image data obtained by the means, the correctness determination recognition means for extracting the content of the correctness determination entry, the recognition result of the scoring information by the scoring information extraction means, And a score calculation means for associating the results of correct / wrong determination by the error determination recognition means with each other, scoring and summarizing the correct / wrong judgments entered in the educational material, and calculating the score in the educational material. It is what.

  Further, the present invention provides an image input step of obtaining an image data from the educational material by reading an image of the educational material having an answer column in the educational material processing method devised to achieve the above-mentioned object, Based on the image data obtained in the image input step with respect to the original scoring information entry that is a teaching material in which scoring is entered in the answer field, the content of the scoring is extracted, Regarding the educational material in which the information regarding the position of the answer field on the educational material is recognized as the distributed information of the answer field, and the educational material in which the answer to the answer field and whether the answer is correct or not are added. Based on the image data obtained in the image input step, the correct / incorrect determination recognition step for extracting the contents of the correct / incorrect determination, and the scoring information extraction step The score information in the educational teaching material is calculated by associating the recognition result of the assigned scoring information with the extraction result of the correctness / incorrectness determination in the correctness / incorrectness recognition step, and scoring the correctness / incorrectness determination entered in the educational material. A score calculation step.

  The present invention is also a teaching material processing program devised to achieve the above object, and is connected to an image reading device that reads an image of an educational material having an answer column and obtains image data from the educational material. The computer extracts the contents of the scoring information based on the image data obtained by the image reader for the scoring information entry original which is an educational teaching material in which the scoring is entered in the answer field, and the answer A score information extracting means for recognizing information on the score on the column and the position of the answer column on the teaching material as the score information of the answer column, and an education in which the answer to the answer column and the correctness / incorrectness determination for the answer are added On the basis of the image data obtained by the image reading device for the educational material, the correctness determination recognizing means for extracting the contents of the correctness determination entry, and the scoring information extracting means The score information in the educational material is calculated by associating the recognition result of the scoring information obtained by the above and the extraction result of the correctness / incorrectness determination by the correctness / error determination recognizing means, and scoring the correctness / incorrectness judgments written in the educational material. It is characterized by functioning as a score calculation means.

In the teaching material processing apparatus having the above-described configuration, the teaching material processing method having the above-described procedure, and the teaching material processing program having the above-described configuration, an image is obtained by reading the original scoring information entry original with respect to the original scoring information entry in which the scoring information is entered in the answer column. When the data is obtained, the score entry contents in the original score information entry original are extracted from the image data, and the score information in the answer column on the original score information entry original is recognized. This recognition may be performed, for example, by character recognition with respect to the extracted result of the contents of the score when the score is entered with numerals.
In addition, when image data is obtained by reading an image of the educational material for the educational material in which the answer to the answer column and whether the answer is correct, that is, the educational material to be scored, is obtained. Extract the correct / incorrect entry from the data. Then, when the contents of the correct / incorrect determination entry are extracted, the extraction result is associated with the recognition result of the allocation information.
Therefore, for example, even when a plurality of answer fields are arranged on the educational material and the score for each is different, the correspondence between the correctness / incorrectness determination for the answer to each answer field and the score for each becomes clear. Therefore, it is possible to perform scoring for correct / incorrect determination based on the recognition result of scoring information, the extraction result of correct / incorrect determination, and the result of each association. Moreover, since the scoring information uses the scoring information recognized based on the image data obtained from the scoring information entry original, it is only necessary to prepare the scoring information entry original and read the image of the scoring information entry original. In addition, it is not necessary to create scoring information or manually input prior to scoring.

  As described above, in the teaching material processing apparatus, teaching material processing method, and teaching material processing program of the present invention, for example, a plurality of questions and their answer columns are arranged on the educational material used in the educational institution. Even if the scoring for each is different, it is possible to perform automatic scoring for the contents of correct / wrong judgment, and it may also require labor such as creating scoring information and manual input. Therefore, labor saving of the scoring process can be realized. Therefore, it becomes very convenient when used in an educational institution, and a highly reliable scoring process can be performed smoothly.

  The teaching material processing apparatus, teaching material processing method, and teaching material processing program according to the present invention will be described below with reference to the drawings.

[Description of overall system configuration]
First, a system configuration for realizing the teaching material processing apparatus will be described. FIG. 1 is a block diagram showing a specific system configuration example of a teaching material processing apparatus according to the present invention.

  As shown in the figure, the teaching material processing apparatus described here includes an image reading unit 1, a database unit 2, an image data analysis unit 3, a teaching material determination unit 4, a distortion correction unit 5, and a difference extraction unit 6. , Answerer extraction unit 7, correctness determination extraction unit 8, discontinuity correction unit 9, graphic shape recognition unit 10, entry position recognition unit 11, scoring information recognition unit 12, scoring totaling unit 13, totaling result And an output unit 14.

  The image reading unit 1 reads an image using a known optical image reading technique for an educational teaching material to be processed, and obtains image data from the educational teaching material. However, the image reading unit 1 has an ADF (Automatic Document Feeder), and can continuously read image data from a plurality of educational materials.

Here, the educational material will be briefly described. FIG. 2 is an explanatory diagram showing a specific example of educational materials. As shown in the figure, the educational material 20 has a question and its answer column 21, and specifically corresponds to a test answer sheet, a practice question sheet, and the like used in an educational institution. However, the educational material 20 only needs to have at least the answer column 21, and the question sentence is not necessarily described.
Further, the educational material 20 has an identification information column 22 for identifying and specifying the educational material, and an answerer information column 23 regarding an answer entry person in the answer column 21. In the identification information column 22, for example, a subject, a title, an applicable grade, and the like of an educational teaching material are described in advance. However, in addition to or in addition to these descriptions, code information for identifying the educational material 20 may be embedded. The embedding of the code information may be realized by using a known technique. As one specific example thereof, for example, a line screen or a dot screen as a gradation expression such as a so-called “iTone (registered trademark)”. It is conceivable to use a technique of embedding digital information in a halftone image by changing the form (position, shape, etc.) of the pixels constituting the image. On the other hand, in the answerer information column 23, the class, attendance number, name, etc. of the answerer can be entered.

The teaching material 20 for image reading by the image reading unit 1 is such that a name such as a name is entered in the answerer information column 23 and an answer is entered in the answer column 21 by an answer entry person such as a student. The answer entered in each answer field 21 is filled with a correct / wrong figure such as “◯” or “x”, that is, is subject to scoring processing described later.
The image reading unit 1 also reads an image of a score information entry original that is an educational material 21 in which a score is entered in each answer column 21.

  FIG. 3 is an explanatory diagram showing a specific example of the original score information entry original. As shown in the example of the drawing, the original scoring information entry 20a is provided for each answer column 21 with respect to the original teaching material 20 in which no answer is entered in the answer column 21 and no name is entered in the answerer information column 23. In the area, or in the vicinity of the area of each answer column 21, the respective stipulation points 24 are individually entered. The score 24 may be anything expressed by numbers, letters, symbols, and the like. Although it is conceivable that the teacher 24 or the like writes the score 24 in each answer column 21 by handwriting, it may be printed in advance. However, in order to facilitate identification from other parts (for example, question sentences) on the educational material 20, it is desirable to fill in with a color component (for example, red) different from the other parts.

In FIG. 1, the database unit 2 holds and accumulates electronic data about the educational material 20. In particular, the database unit 2 stores and accumulates electronic data regarding the original of the educational material 20 that is not filled in the answer column 21 or the like.
The electronic data of such educational material 20 may be in any data format as long as it can be stored and accumulated in the database unit 2. For example, it may be bitmap image data or application document data created by document creation software.
However, the electronic data of the educational teaching material 20 includes attributes (subjects, titles, titles) of the educational teaching material 20 in addition to image data that can specify the layout of the answer column 21 and the identification information column 23 of the educational teaching material 20. Information on applicable grades).

  The image data analysis unit 3 performs an analysis process on the image data obtained by the image reading unit 1. Examples of the analysis processing include layout analysis, character / graphic separation, character recognition, code information recognition, graphic processing, color component recognition, etc., and any of these may be realized using known image processing techniques. Detailed description thereof is omitted.

  The teaching material discriminating unit 4 includes at least one of a title analysis unit and a code information analysis unit. As a result of the analysis processing in the image data analysis unit 3, particularly the title analysis or code by the title analysis unit for the identification information column 22 Based on at least one result of code analysis by the information analysis unit, the educational teaching material 20 that is the basis of the image data obtained by the image reading unit 1 is identified and specified. At this time, in the teaching material discriminating unit 4, the database unit 2 compares it with the original teaching material for teaching and storing electronic data. If the corresponding electronic data is not stored and stored in the database unit 2, the teaching material 20 The identification specific error is determined. That is, the teaching material determination unit 4 specifies electronic data to be compared with the image data obtained by the image reading unit 1 from the analysis result of the image data analysis unit 3.

  The distortion correction unit 5 corrects image distortion in the image data obtained by the image reading unit 1. Image distortion correction includes tilt correction, enlargement / reduction correction in the main scanning direction or sub-scanning direction, etc., and any of them may be realized by using a known image processing technique, and a detailed description thereof will be given here. Omitted.

  The difference extraction unit 6 is image data obtained by the image reading unit 1 on the basis of the identification and identification result of the educational teaching material by the teaching material discrimination unit 4 and after the image distortion correction processing by the distortion correction unit 5. Are compared with the electronic data in the database unit 2 to be compared, and the difference between them is extracted. Note that the difference extraction processing method itself may be realized by using a known image processing technique, and a detailed description thereof will be omitted here.

  The answerer extraction unit 7 includes at least one of an attendance number information cutout unit and a handwritten OCR (Optical Character Reader) unit, preferably both, and based on the result of the analysis processing in the image data analysis unit 3, Among the differences extracted by the difference extraction unit 6, an image reading unit is obtained through character information extraction by an attendance number information cutout unit from the difference, character recognition processing by a handwritten OCR unit, and the like. The answerer information in the educational material 20 which is the reading target in 1 is extracted. The answerer information includes information for identifying the answerer such as the class of the answerer, attendance number, name, and the like.

  The correct / incorrect determination extraction unit 8 further determines the correctness / incorrectness (specifically, for example, “◯” or “×” from the difference extracted by the difference extraction unit 6 based on the result of the analysis processing in the image data analysis unit 3. ")") Is extracted. What is necessary is just to extract the content regarding a predetermined color component through the color component recognition process with respect to the extraction result in the difference extraction part 6, for example, extraction of the entry content of correct / incorrect determination. This is because the correct / incorrect determination is generally entered in red.

  The discontinuity correction unit 9 performs discontinuity correction processing on the extraction result from the correctness / error determination extraction unit 8. The interruption correction process is a process for connecting the extracted line segments and eliminating the interruption between the extracted line segments. That is, the break correction unit 9 functions as a break correction unit in the present invention.

  The figure shape recognition unit 10 recognizes the entry contents of the correct / incorrect determination by performing shape recognition on the entry contents of the correct / incorrect determination extracted by the correct / incorrect determination extraction unit 8 and corrected by the discontinuity correction unit 9. To do. Shape recognition may be performed, for example, by pattern matching with a graphic shape of “◯” or “×”. In other words, the graphic shape recognition unit 10 recognizes whether the content of the correct / incorrect determination entry is “correct answer (◯)” or “incorrect answer (×)”.

  The entry position recognition unit 11 recognizes the entry position on the educational material for the entry contents of the correct / incorrect determination whose shape has been recognized by the figure shape recognition unit 10. The recognition of the entry position may be performed, for example, by coordinate analysis on the educational material.

  The scoring information recognition unit 12 is image data obtained from the scoring information entry original 20a by the image reading unit 1, and after the image distortion correction processing in the distortion correction unit 5, the scoring 24 on the scoring information entry original 20a is obtained. Is extracted, and information regarding the points assigned to each answer column 21 and the position of the answer column 21 on the teaching material 20 is recognized as the point information of each answer column 21.

  The scoring tabulation unit 13 recognizes the recognition result of the correct / incorrect determination entry by the graphic shape recognition unit 10, the recognition result of the correct / incorrect determination input position by the entry position recognition unit 11, and each answer column 21 by the scoring information recognition unit 12. With respect to the educational material 20 for which the image reading unit 1 has read the image by associating the recognition results of the scoring information with each other, the correctness determination entered in the educational material 20 is scored and aggregated, and the educational material 20 The score at is calculated.

  The totaling result output unit 14 outputs the result of scoring by the scoring totaling unit 13 in association with the answerer information extracted by the answerer extracting unit 7. Examples of the output destination by the total result output unit 14 include a database device 31 or a file server device 32 connected to the teaching material processing apparatus that manages the scoring result for educational materials.

Of the units 1 to 14 described above, the image reading unit 1 can be realized by using a copier, a multifunction device, or a scanner device having a function as an image reading device. In that case, if an ADF is attached, it is possible to continuously perform image reading for a plurality of educational materials.
For the other units 2 to 14 other than the image reading unit 1, a computer device that realizes an information storage processing function, an image processing function, an arithmetic processing function, etc. by executing a predetermined program, such as a PC, is used. This can be realized. In this case, it is conceivable that the predetermined program necessary for realizing each of the units 2 to 14 is installed in the PC in advance, but is not installed in advance but is stored in a computer-readable storage medium. Or may be distributed via wired or wireless communication means. That is, the teaching material processing apparatus having the above-described configuration can also be realized by a teaching material processing program that causes a computer connected to the image reading apparatus to function as a teaching material processing apparatus.

[Description of characteristic functional configuration of teaching material processing device]
Next, the characteristic functional configuration of the educational material processing apparatus (including the case realized by the educational material processing program) realized by the system configuration as described above will be described in more detail.

  FIG. 4 is a block diagram showing a functional configuration example of the teaching material processing apparatus according to the present invention. As shown in the figure, the teaching material processing apparatus includes an input unit 41, an original image storage unit 42, an original image search unit 43, a distribution information extraction unit 44, a postscript extraction unit 45, an accuracy determination unit 46, and a score. The calculation means 47 and the function as the score storage means 48 are provided.

  The input means 41 is a function realized by the image reading unit 1 and performs image reading on the teaching material 20 or the original scoring information entry 20a in which the answer is entered in the answer column 21 and whether the answer is correct is entered. The image data is obtained from the educational material 20 or the original score information entry 20a.

  The original image storage means 42 is a function realized by the database unit 2 and is for holding and storing electronic data regarding the original of the educational material 20.

  The original image search means 43 is a function realized by the image data analysis unit 3 and the teaching material determination unit 4, specifies electronic data to be compared with the image data obtained by the image reading unit 1, and specifies the specified electronic data Data is searched from the original image storage means 42.

  The score information extraction unit 44 is a function realized by the distortion correction unit 5, the difference extraction unit 6, and the score information recognition unit 12, and based on the image data obtained for the score information entry original 20a, the score information entry original 20a. The content of the entry of the above-mentioned scoring points 24 is extracted, and information regarding the scoring points for each answer field 21 and the position of the answer field 21 on the teaching material 20 is recognized as the scoring information in the answer field.

  The postscript extraction means 45 is a function realized by the distortion correction unit 5, the difference extraction unit 6, the answerer extraction unit 7, the correctness / error determination extraction unit 8, and the discontinuity correction unit 9. Based on the image data obtained for the educational teaching material 20 in which the correctness / incorrectness determination is entered, the contents to be added on the educational teaching material 20, specifically, the correct / incorrect determination input content and the answerer information are extracted. Is.

  The correctness / incorrectness determination means 46 is a function realized by the graphic shape recognition unit 10 and the entry position recognition unit 11, and the correct / incorrect determination entry content on the educational material 20 is “correct (○)” or “incorrect (×)”. In addition to recognizing whether the entry is correct or incorrect on the educational material.

  The score calculation unit 47 is a function realized by the scoring totaling unit 13 and associates the recognition result of the correctness / incorrectness determination by the correctness / incorrection determination unit 46 with the recognition result of the scoring information by the scoring information extraction unit 44, thereby teaching materials for education. 20 is used to calculate the score in the educational material 20 by scoring the correctness / incorrectness judgments entered on the score 20.

  The score storage means 48 is a function realized by the total result output unit 14 and outputs the score calculation result on the educational teaching material 20 in association with the answerer information extracted from the educational teaching material 20, and the database device 31 or the file server device 32 for storage management.

[Description of processing operation overview]
Next, an example of processing operation in the teaching material processing apparatus (including the case where the teaching material processing program is also realized) configured as described above, that is, the procedure of the teaching material processing method according to the present invention will be described. FIG. 5 is an explanatory diagram showing an outline of a basic processing operation example in the teaching material processing apparatus according to the present invention.

  When using the teaching material processing apparatus, first of all, the student information etc. is filled in the name and the like in the answerer information column 23 and the answer column 21 by the original scoring information entry 20a, and each answer by the teacher etc. The image reading unit 1 reads an image of the teaching material 20 in which a correct / wrong figure such as “O” or “×” is entered for the answer entered in the column 21, and obtains image data from each of the images ( Step 101, the following steps are abbreviated as “S”). It is assumed that the original scoring information entry 20a and the educational material 20 for which the correct / wrong determination has been completed are for the same type of educational material, that is, the original is common.

At this time, by using ADF, for example, for a plurality of educational materials 20 to be processed in one group such as the same class, together with the original score information entry 20a, image reading is performed collectively, Image data can be obtained continuously from each. That is, it is possible to continuously perform image reading on a bundle of educational materials composed of a plurality of educational materials 20 and a score information entry original 20a.
However, when the image reading is continuously performed on the educational teaching material bundle, it is desirable that the original scoring information entry 20a is first the image reading target in the image reading unit 1 for the reason described later.
Note that image data obtained by image reading is temporarily stored in a memory or the like used as a work area.

  After that, for each image data obtained from the original scoring information entry 20a, a scoring information extraction process to be described in detail later is performed, and for each image data obtained from each educational material 20, Sequentially, an automatic scoring process whose details will be described later is performed (S102).

  When the score for each educational material 20 is calculated through the scoring information extraction process and the automatic scoring process, the calculation result is associated with the answerer information, and the database device 31 or file connected to the educational material processing apparatus The data is output to the server device 32 and stored and held in the database device 31 or the file server device 32 (S103). As a result, the database device 31 or the file server device 32 can manage or use the score totalization results for the educational material 20 in a list format, for example.

  Subsequently, the scoring information extraction process and the automatic scoring process in the above processing operation example will be described in more detail.

[Description of scoring information extraction process]
Scoring information extraction processing is performed in the following procedure.
In the score information extraction process, the image data analysis unit 3 performs the analysis process on the image data of the score information entry original 20a first read by the image reading unit 1 from the educational material bundle, and the analysis process is performed. Based on the result, the learning material determination unit 4 identifies and specifies the educational material 20. This identification and specification may be performed through title analysis such as “science”, “5 years”, “1. change in weather and temperature” or code analysis of code information embedded in the educational material 20. Through this identification specification, the teaching material determination unit 4 can specify electronic data to be compared with the image data obtained by the image reading unit 1.
That is, for the image data obtained from the original scoring information entry 20a by the function as the input means 41, the function as the original image search means 43 identifies and specifies the electronic data to be compared, and the identified and specified electronic data is the original. The search is made from within the image storage means 42.
When the teaching material determination unit 4 specifies the electronic data, the database unit 2 takes out the corresponding electronic data from the stored and stored according to the specification result, and transfers it to the difference extraction unit 6.

  On the other hand, for certain image data obtained from the original scoring information entry 20a, the distortion correction unit 5 corrects image distortion in the image data. This image distortion correction is performed to correct image distortion that may occur when the image reading unit 1 reads an image. In order to improve accuracy such as comparison with subsequent electronic data and difference extraction. belongs to.

  The difference extraction unit 6 compares the electronic data received from the database unit 2 with the image data obtained by the image reading unit 1 and corrected for image distortion by the distortion correction unit 5. The difference is extracted. By this difference extraction, the entry contents of the score 24 in each answer column 21 on the score information entry original 20a are extracted.

After the contents of the score 24 are extracted, the score information recognition unit 12 thereafter recognizes the score 24 to each answer column 21 through character recognition processing for the extracted result, and for the education of the score 24. The entry position on the teaching material 20 is recognized. It is conceivable to recognize the entry position by, for example, calculating a circumscribed rectangle such as a character representing the score 24 and calculating a coordinate position of the circumscribed rectangle on the educational teaching material 20. In addition, for example, the position of the center of gravity of a character or the like representing the scoring point 24 is calculated, and the position of entry is calculated by calculating the coordinates of a region having a predetermined size including the position of the center of gravity. May be recognized. When the scoring information recognizing unit 12 recognizes the scoring points 24 entered in each answer column 21 and their entry positions, these recognition results are associated with each other and used as the scoring information in each answer column 21.
That is, the function as the scoring information extraction means 44 recognizes the scoring for each answer field 21 and the position of the answer field 21 on the teaching material 20 based on the image data obtained for the original scoring information entry 20a. This is recognized as the scoring information in the answer column 21.

[Description of automatic scoring]
Next, the automatic scoring process performed following the above-described scoring information extraction process will be described.
In the automatic scoring process, the image data analysis unit 3 applies the image data obtained from the teaching material 20 by the image reading unit 1 after reading the original scoring information entry original 20a, as in the case of the scoring information extraction processing. While performing the analysis process, the teaching material discrimination unit 4 identifies and specifies the educational teaching material 20. However, this identification specification can be omitted by using the identification specification result for the original score information entry 20a in the allocation information extraction process because the educational material bundles are only of the same type.

  For the image data obtained from the educational material 20, the distortion correction unit 5 corrects the image distortion and the difference extraction unit 6 identifies and specifies the original as in the case of the distribution information extraction process. Extract differences from electronic data. By this difference extraction, the contents entered in the answerer information field 23 and each answer field 21 and the contents entered for correct / incorrect determination for each answer field 21 are extracted.

  When the difference extraction unit 6 extracts the difference, the answerer extraction unit 7 thereafter answers the answerer about the answer entry person of the educational teaching material to be read by the image reading unit 1 through character recognition processing or the like for the difference. Identify information. As a result, it is possible to specify the class, attendance number, name, etc. of the answer entry person who entered the answer for each educational material 20 that has been read by the image reading unit 1.

  Further, for the difference extraction result by the difference extraction unit 6, in order to extract the contents of correct / incorrect determination entry in each answer column 21, the correct / incorrect determination extraction unit 8 further extracts a result for the predetermined color component from the difference extraction result. Specifically, for example, a red component is extracted. The extraction of the predetermined color component can be performed by paying attention to the color component data constituting the pixel data, for example, when the difference extraction result is composed of pixel data.

  However, in general, the correctness / incorrectness graphic entry such as “O” and “X” on the educational material 20 is used for the question sentence, the frame for identifying each answer column 21, the contents of the answer entry in each answer column 21, etc. Often done in layers. Therefore, the extraction result of the predetermined color component by the correctness / error determination extraction unit 8 may be a result of removing the overlapped portion, that is, a discontinuous portion in a figure such as “◯” or “×”. Therefore, the interruption correction unit 9 performs the interruption correction process on the extraction result of the predetermined color component by the correctness / error determination extraction unit 8.

  Here, the break correction processing by the break correction unit 9 will be described in detail.

FIG. 6 is an explanatory diagram illustrating an example of the interruption correction process.
In the interruption correction process, as shown in FIG. 6A, the extraction result of the predetermined color component by the correctness determination extraction unit 8, that is, the extraction result that should be a graphic such as “O” or “X”, Thinning processing is executed (S201), and end point extraction processing is further executed (S202). As a result, when there is an interrupted portion in the graphic such as “◯” or “×”, the end points at the interrupted portion are extracted. Note that the thinning process and the end point extraction process performed at this time may be performed using a known technique, and thus detailed description thereof is omitted here.
When the end points are extracted, the following processing is executed for all the extracted end points (S203). That is, first, an unprocessed end point is selected (S204), and within the predetermined distance set in advance from the selected end point (hereinafter referred to as “first end point”) and closest to the end point. A certain unprocessed end point (hereinafter referred to as “second end point”) is further selected (S205). If there is a second end point (S206), the first end point and the second end point are connected to each other (S207), and both the first end point and the second end point are processed (S208). On the other hand, if the second end point does not exist (S206), the end point is not processed and the first end point is processed (S209). Such processing is performed for all end points until there are no unprocessed end points (S203 to S209).
Thereby, for example, when the figure shown in FIG. 6B is extracted, even if the end points B and C exist within a predetermined distance with respect to the end point A, the nearest end point B among them is It is connected to the end point A, and the discontinuity portion in the graphic “◯” is corrected.

FIG. 7 is an explanatory diagram illustrating another example of the interruption correction process.
In another example of the interruption correction process, in addition to the extraction result of the predetermined color component by the correctness / error determination extraction unit 8, the image data after the image distortion correction by the distortion correction unit 5 is also used to improve the accuracy of the interruption correction process. ing. That is, in another example of the interruption correction process, as shown in FIG. 7A, the binarization process is performed on the image data after the image distortion correction by the distortion correction unit 5 (S301). However, if binarization processing is performed at the time of difference extraction by the difference extraction unit 6 or extraction of a predetermined color component by the correctness determination extraction unit 8, the image data after the binarization processing may be used. .
Further, a thinning process is performed on the extraction result of the predetermined color component by the correctness determination extraction unit 8 (S302), and an end point extraction process is further performed (S303). When the end points are extracted, the following processing is executed for all the extracted end points (S304).
First, one unprocessed end point is selected (S305), and an unprocessed end point that is within a predetermined distance from the selected first end point and is closest is the second end point. (S306). If there is a second end point (S307), it is determined whether or not there is a pixel group that connects the first end point and the second end point in the image data after binarization processing (S308). . That is, it is determined whether or not there is an overlapping portion of the images that causes the interruption. As a result, if there is an overlapping portion, the first end point and the second end point are connected to each other (S309), and both the first end point and the second end point are processed (S310). On the other hand, if there is no overlapping portion, the process returns to the above-described step (S306), and an end point that is within a predetermined distance from the first end point and is closest to the next end point is selected as the second end point. . At this time, if there is no end point to be selected, the connection between the end points is not performed, and the first end point is processed (S311). Such processing is performed for all end points until there are no unprocessed end points (S304 to S311).
Thus, for example, when the figure shown in FIG. 7B is extracted, if the end points B and C exist within a predetermined distance from the end point A, the nearest end point C is selected. However, since there is no pixel group connecting the end points A and C in the binarized image data, the end points A and C are not connected. Then, an end point B that is the next closest to the end point C is selected. Since there is a pixel group in the binarized image data between the end point B and the end point A, the end point B is the end point. A will be connected. That is, the discontinuity portion in the graphic “O” is corrected without erroneously connecting “O” and “X”.

Through the extraction of the answerer information as described above, the extraction of the predetermined color component and the correction of the interruption, the additional content on the educational material 20 is extracted.
In other words, the function as the additional writing extraction means 45 is based on the image data obtained for each educational material 20, and the additional content on the educational material 20, specifically, the content of correct / incorrect determination and the answerer information are displayed. Extract it.

After that, among the extraction results of the additionally written contents on the educational material 20 for teaching, the figure shape recognizing unit 10 recognizes the shape of the entry contents, that is, “o” or “ Is matched with the graphic shape of "", and it is recognized whether the entry content of the correct / incorrect determination is "correct" or "incorrect". Since the pattern matching performed at this time may be realized using a known technique, the description thereof is omitted here.
Alternatively, the feature amount of the recognition target figure may be calculated and the shape may be recognized from the feature amount. For example, known features such as the number of holes and the area ratio of the target figure occupying the circumscribed rectangle may be used as the feature amount, and the description thereof is omitted here.

  When the figure shape recognizing unit 10 recognizes the shape of the entry contents of the correct / incorrect determination, the entry position recognizing unit 11 subsequently recognizes the entry position on the educational material 20 for the input contents of the correct / incorrect determination. In addition, when shape recognition by the figure shape recognition unit 10 is performed, an identifier is assigned to the continuous pixel group in order to collectively handle the continuous pixel group constituting the “◯” or “×” figure. Therefore, a labeling process which is a general image processing technique is performed. For this reason, even when the position recognition by the entry position recognition unit 11 is performed, the continuous pixel group constituting the “◯” or “×” figure is handled as one group by using the result of the labeling process.

Here, the recognition processing of the correct / incorrect determination entry position by the entry position recognition unit 11 will be described in detail. FIG. 8 is a flowchart illustrating an example of a recognition processing procedure for a correct / incorrect determination entry position.
In the recognition processing of the correct / incorrect determination position, since a plurality of correct / incorrect determinations are entered on the educational material 20, first, the count number K for the correct / incorrect determination is set to “1” (S401). Thus, until the count number K exceeds the number of correct / incorrect determinations that can exist on the educational material 20, that is, the number of answer columns 21 (S 402), correct / incorrect determination detected in a predetermined scanning order (“◯ ”Or“ x ”graphic), the position is recognized in order from the first.
For example, the position recognition may be performed by calculating circumscribing rectangle information of a graphic of “◯” or “x” (S403) and further calculating the center coordinates of the circumscribing rectangle (S404). Specifically, a circumscribed rectangle is extracted from a figure (continuous pixel group) to be recognized, the xy coordinates of a predetermined point (for example, the upper left vertex) of the circumscribed rectangle, and the width (w) of the circumscribed rectangle. And the height (h) is calculated. Then, from these calculation results, the center x coordinate = x + w / 2 and the center y coordinate = y + h / 2 are calculated, and the calculation result is set as the recognition result of the position of the continuous pixel group, that is, the correct / incorrect determination entry position.
Such processing is repeated until all the correct / incorrect determinations existing on the educational material 20 are recognized while incrementing the count number K (S405) (S402 to S405).

In this way, the figure shape recognizing unit 10 and the entry position recognizing unit 11 recognize whether the content of the correct / incorrect determination entry on the educational material 20 is “correct (◯)” or “incorrect (×)”. At the same time, the entry position on the educational material 20 for the correct / incorrect determination is recognized.
That is, the function as the correctness / incorrectness determination means 46 extracts and recognizes the additional contents for correctness / incorrectness determination on the educational material 20.

After recognizing the additional information for correctness / incorrectness determination, the scoring and summarizing unit 13 performs scoring for correctness / incorrectness determination, using the recognition result of the scoring information in the scoring information extraction process described above.
In scoring the correct / incorrect determination, since a plurality of correct / incorrect determinations are entered on the educational material 20, first, the count number K for the correct / incorrect determination is set to "1". Thus, until the count number K exceeds the number of correct / incorrect determinations that can exist on the educational material 20, that is, the number in the answer column 21, correct / incorrect determination (“◯” or “ For the “x” graphic), the processing for scoring is performed in order from the first.
That is, for the Kth correct / incorrect determination graphic, it is determined whether the graphic is “◯” or “×”. As a result, if it is “◯”, the score for the Kth correct / incorrect determination is added in the “scoring result by problem” described later. On the other hand, if it is “x”, the score addition is not performed for the Kth correct / incorrect determination, and “0 point” is set.
Such processing is repeated until all the correctness determinations on the educational material 20 are completed while incrementing the count number K.

  However, in order to perform the scoring as described above, there are a plurality of (answer columns 21) on the educational material 20, and the score 24 of each answer column 21 is not always uniform. Correlation between correct / incorrect determination and scoring is necessary. Specifically, it is necessary to associate the position of the answer column 21 recognized in the scoring information extraction process on the educational material 20 with the correct / incorrect determination entry position recognized in the automatic scoring process.

From this, the scoring unit 13 performs scoring for correct / incorrect determination in the following procedure. That is, the scoring totalization unit 13 obtains an overlapping area between the circumscribed rectangle of the correct / incorrect determination graphic such as “O” or “×” and the area that is regarded as the answer column 21 on the teaching material 20 based on the scoring information. The correct / incorrect determination graphic having the largest area (the same as the area ratio with respect to the circumscribed rectangle) and the answer column 21 are associated with each other, and the correct / incorrect determination graphic is used as the correct / incorrect determination result entered for the answer column 21. However, when the ratio of the overlapping area to the circumscribed rectangle is less than the predetermined threshold, it is determined that the determination regarding the association is impossible because the overlapping portion is small. After the association, if the correctness / incorrectness determination figure is “◯”, the score specified from the corresponding point information for the answer column 21 is added, and the correctness / incorrectness determination figure is “×”. If there is, the point addition for the answer column 21 corresponding thereto is not performed. If such processing is performed for all the correctness determination and answer columns 21 on the educational material 20, the score calculation means 47 is a function realized by the scoring totaling unit 13, and the correctness determination entry position by the correctness determination means 46. The score of the educational material 20 is calculated by scoring and summing the correctness / incorrectness judgments entered on the educational material 20 while associating the recognition result of the item and the recognition result of the position of the answer column 21 based on the scoring information with each other. Can do.
Alternatively, as another example, the center coordinates of the correct / incorrect determination figure such as “◯” or “×” calculated by the entry position recognition unit 11 and the answer column 21 including the coordinates are associated with each other, and the correct / incorrect determination figure is displayed. The correct / incorrect determination result entered for the answer column 21 is used.
That is, the function as the score calculation means 47 scores and sums the correctness / incorrectness determinations entered on the educational material 20 and calculates the score in the educational material 20.

  Through the processing as described above, the scoring unit 13 outputs the result of scoring summarization of correct / incorrect judgment entered on the educational material 20 as a problem-specific scoring result. FIG. 9 is an explanatory diagram showing a specific example of the problem-specific scoring results. The question-specific scoring result is information including the number of the question existing on the educational material 20, the correctness / incorrectness determination for the answer of the question, and the score based on the correctness / incorrectness determination. The data is output from the scoring tabulation unit 13 in a table format.

  When the scoring result by question is output from the scoring and summarizing unit 13, the summing result output unit 14 then extracts the scoring result by question, that is, the result of scoring by the scoring and summing unit 13, by the answerer extracting unit 7. The information is output to the database device 31 or the file server device 32 connected to the teaching material processing device in association with the answerer information. As a result, the database device 31 or the file server device 32 can manage or use the score totalization results for the educational material 20 in a list format, for example.

  As described above, in the teaching material processing apparatus, the teaching material processing method, and the teaching material processing program according to the present embodiment, the content of correct / incorrect determination (for example, “O” or “ The figure shape of “×” is recognized, and based on the recognition result, scoring and summarizing of correct / incorrect determination entered in the educational material 20 is performed. Therefore, if the image reading is performed on the educational material 20 in which the correctness / incorrectness determination is entered, the scoring results are automatically collected for the entered correctness / incorrectness determination. As a result, the scoring process for the educational material 20 is labor-saving. Will be. Furthermore, since the image data read from the educational material 20 is used as a basis, for example, a scanning function realized by a copier, a multifunction peripheral, or a scanner device, an information storage processing function possessed by a computer device such as a PC, an image processing If there is a function and an arithmetic processing function, the apparatus configuration can be realized, and a dedicated component device is not required.

  Moreover, in the teaching material processing apparatus, teaching material processing method, and teaching material processing program according to the present embodiment, the scoring information is extracted and recognized from the image data obtained by reading the scoring information entry original 20a, and the scoring information is recognized. Correspondence between the result and the contents of the correct / wrong determination for the answer on the educational material 20 is performed. That is, based on the contents entered in the original scoring information entry 20a, the scoring 24 for each answer column 21 on the educational material 20 is automatically recognized. Therefore, for example, even when a plurality of questions and their answer columns 21 are arranged on the educational material 20 and the score 24 is different from each other, it is only necessary to read the image of the original score information entry 20a. 24 becomes clear, and the correspondence between the correctness / incorrectness determination for the answer to each answer column 21 and the score 24 for each is also clarified, so that it is possible to perform scoring for correctness / incorrectness determination in the scoring summary unit 13. Become. In addition, since the result of image reading with respect to the original scoring information entry 20a is used for scoring the scoring, it is not necessary to manually input scoring information prior to scoring the scoring.

  That is, according to the teaching material processing apparatus, the teaching material processing method, and the teaching material processing program in the present embodiment, the correctness / incorrectness determination can be entered for the educational teaching material 20 used in the educational institution without performing manual input of the scoring information 24 in advance. Since it is possible to perform automatic scoring for the contents, it is possible to realize labor saving of the scoring processing. Therefore, it becomes very convenient when used in an educational institution, and a highly reliable scoring process can be performed smoothly.

  In addition, although this embodiment demonstrated the suitable Example of this invention, this invention is not limited to the content.

  For example, in the present embodiment, image reading is continuously performed on the educational material bundle, and the original scoring information entry 20a is first subjected to image reading, and then the educational material 20 to be subjected to scoring processing. The case where image reading is performed is taken as an example. This is because if the scoring information entry original 20a and the teaching materials 20 for education are continuously read, the image reading for each will be performed by the same image reading unit 1 at substantially the same time. Differences in data characteristics (amplification, distortion, color characteristics, etc.) between the image data obtained from 20a and the image data obtained from each educational material 20 can be suppressed, and as a result, each image data is used. This is because an improvement in processing accuracy can be expected when automatic scoring is performed. However, the present invention is not necessarily limited to this. If the memory area for storing the image data obtained from each teaching material 20 can be secured, it is not necessary to first read an image of the original scoring information entry 20a. Good. Further, if a non-volatile memory area is secured and the image data obtained from the original scoring information entry 20a is stored in the memory area, image reading for the original scoring information entry 20a and image reading for each educational material 20 are performed. It is also possible to carry out them separately and non-continuously.

  Further, for example, in this embodiment, in recognition of the score 24 in the score information extraction process and extraction recognition of the entry contents of the correctness determination in the automatic score process, the image data read from the educational material 20 or the score information entry original 20a is The case where it compares with the electronic data (image data about an original) which the database part 2 hold | maintains is mentioned as an example. This can be expected to be able to maintain high accuracy of the difference extraction if compared with the image data of the original, and further, if the electronic data about various educational materials 20 is stored and accumulated in the database unit 2, it can be handled. This is because the versatility of the possible educational material 20 can be sufficiently secured.

However, the present invention is not necessarily limited to this, and it is possible to perform the stipulation information extraction process and the automatic scoring process also by the functional configuration described below.
10 and 11 are block diagrams showing other functional configuration examples of the teaching material processing apparatus according to the present invention.

  The functional configuration shown in FIG. 10 is different from the functional configuration of FIG. 4 described above in that the original image storage means 42 and the original image search means 43 are not provided, and the answer position calculation means 49 is provided. To do. In such a functional configuration, the scoring information extracting unit 44 and the additional recording extracting unit 45 extract the scoring 24 and the correct / incorrect determination by paying attention to a predetermined color component (for example, a red component), not a difference from the image data of the original. Do. Then, based on the recognition result of the entry position of the score 24 by the score information extraction means 44, the answer position calculation means 49 calculates the coordinate position on the educational teaching material 20 in the area to be the answer column 21, and additionally extracts the calculation result. The means 45 is notified. As a result, the additional record extraction means 45 can perform the correct / error determination extraction processing only within the region specified from the calculation result. That is, even in such a functional configuration, it is possible to perform the scoring information extraction process and the automatic scoring process as in the functional configuration of FIG. Moreover, in this functional configuration, unlike the functional configuration of FIG. 4, image data about the original is not required, and therefore the teaching material 20 for which the image data is not stored and stored is also used for the teaching material 20 on which the scoring information is entered. As long as they are prepared, they can be processed.

  The functional configuration shown in FIG. 11 is different from the functional configuration of FIG. 10 described above in that the answer position calculation unit 49 is not provided and the original image generation unit 50 is provided. The original image generating means 50 generates image data about the original of the teaching material 20 of the same kind as the original scoring information entry 20a based on the image data obtained from the original original scoring information 20a. This generation may be performed using the difference between the image data obtained from the original scoring information entry 20a and the extraction result by the scoring information extraction means 44. By providing the original image generation means 50, in this functional configuration, even if the original image storage means 42 and the original image search means 43 are not provided, the image data about the original is read every time the point information entry original 20 a is read. Obtainable. That is, it is possible for the postscript extraction means 45 to perform a correct / incorrect determination extraction process using the generated image data of the original. That is, even in such a functional configuration, it is possible to perform the scoring information extraction process and the automatic scoring process as in the functional configuration of FIG. 4 or FIG. Moreover, in this functional configuration, as in the case of the functional configuration of FIG. 10, the educational material 20 in which image data about the original is not stored and accumulated can be processed as long as the original information 20a for scoring information is prepared. be able to.

  The original image generation means 50 may be provided not only in the case where the original image storage means 42 and the original image search means 43 are not provided, but also in a functional configuration in which the original image storage means 42 and the original image search means 43 exist. . If the original image generation means 50 is provided when the original image storage means 42 and the original image search means 43 exist, the image data of the original generated by the original image generation means 50 is sequentially stored in the original image storage means 42. This is because it becomes possible to use it at the time of subsequent scoring information extraction processing or automatic scoring processing.

  In addition to the functional configuration examples shown in FIGS. 10 and 11, the following may be considered. For example, in the input means 41, to the answer column 21 and the blank original of the educational teaching material 20 for which the correctness / incorrectness determination is not entered, the score information entry original 20 a in which the score 24 to each answer column 21 is entered, and the answer column 21 The image reading is performed for each of the educational material 20 in which the answer to the answer and the answer to the answer are entered. That is, the input means 41 reads an image from a teaching material bundle consisting of a blank original, a scoring information entry original 20a, and an educational teaching material 20 in which answers and correct / incorrect determination are entered. Then, by performing extraction processing of correctness / incorrectness determination for the teaching material 20 for education completed using the image data obtained from the blank original, and by performing scoring information extraction processing using the image data obtained from the original scoring information entry 20a, Enable automatic scoring. In this way, since the image of the blank original is read, the original database and the original search are not required, and the original data extraction from the original scoring information entry 20a is not required. It is possible to perform an automatic scoring process for.

  In this case, it is desirable to include determination means for determining whether or not the blank original, the scoring information entry original 20a, and the completed educational teaching material 20 are of the same type. This is because the type selection of white paper originals, etc. depends on human work rather than automatic search, and if there is a type selection error, it will greatly affect the results of correct / error judgment extraction processing, automatic scoring processing, etc. . The determination itself of whether there is the same type may be performed using a known technique.

  As described above, the present invention can be modified as appropriate without departing from the scope of the description of the present embodiment.

It is a block diagram which shows the specific system configuration example of the teaching material processing apparatus which concerns on this invention. It is explanatory drawing which shows a specific example of the educational material. It is explanatory drawing which shows one specific example of the original score information entry. It is a block diagram which shows the function structural example of the teaching material processing apparatus which concerns on this invention. It is explanatory drawing which shows the outline | summary of the basic processing operation example in the teaching material processing apparatus which concerns on this invention. It is explanatory drawing which shows an example of a discontinuation correction process. It is explanatory drawing which shows the other example of a discontinuation correction process. It is a flowchart which shows an example of the recognition processing procedure of a correct / incorrect determination entry position. It is explanatory drawing which shows one specific example of the scoring result according to a problem. It is a block diagram (the 1) which shows the other function structural example of the teaching material processing apparatus which concerns on this invention. It is a block diagram (the 2) which shows the other function structural example of the teaching material processing apparatus which concerns on this invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Image reading part, 2 ... Database part, 3 ... Image data analysis part, 4 ... Teaching material discrimination | determination part, 5 ... Distortion correction part, 6 ... Difference extraction part, 7 ... Answerer extraction part, 8 ... Correct / error determination extraction part, DESCRIPTION OF SYMBOLS 9 ... Discontinuation correction | amendment part, 10 ... Graphic shape recognition part, 11 ... Entry position recognition part, 12 ... Scoring information recognition part, 13 ... Scoring totaling part, 14 ... Counting result output part, 20 ... Teaching material, 20a ... Scoring information Entry original, 21 ... Answer field, 22 ... Identification information field, 23 ... Answerer information field, 24 ... Scoring, 31 ... Database device, 32 ... File server device, 41 ... Input means, 42 ... Original image storage means, 43 ... Original image search means, 44 ... scoring information extraction means, 45 ... additional note extraction means, 46 ... correction determination means, 47 ... score calculation means, 48 ... score storage means, 49 ... answer position calculation means, 50 ... original image generation means

Claims (8)

Image input means for reading an image of an educational material having an answer column and obtaining image data from the educational material;
Based on the image data obtained by the image input means for the original scoring information entry which is an educational teaching material in which scoring is entered in the answer field, the content of the scoring is extracted, Scoring information extracting means for recognizing information on the position of the answer field on the educational material as the score information of the answer field;
Correctness determination recognizing means for extracting the content of the correctness determination based on the image data obtained by the image input means for the educational material in which the answer to the answer column and the correctness determination for the answer are added;
The educational material is obtained by scoring and summarizing the correctness / incorrectness determination entered in the educational material by associating the recognition result of the distributed information by the distributed information extracting unit with the extracted result of the correctness / incorrectness determination by the correctness / error recognition unit. A teaching material processing apparatus comprising: score calculating means for calculating a score in The image input means continuously reads an image for a teaching material bundle consisting of a plurality of teaching materials of the same type,
2. The teaching material processing according to claim 1, wherein the educational material bundle includes the original scoring information entry original, and the original scoring information entry original is a target of image reading by the image input means. apparatus. An original image storage means for storing and storing image data of the original teaching material, and
The correctness determination recognizing means extracts the content of the correctness determination entry based on the difference between the image data obtained by the image input means and the image data stored and accumulated by the original image storage means. Item 3. The teaching material processing apparatus according to item 1 or 2.   The scoring information extracting means includes original image extracting means for generating image data about the original of the educational teaching material in which the answer column and the correctness determination are not filled based on the image data obtained from the original scoring information entry. The teaching material processing apparatus according to claim 1, 2, or 3. The image input means is for reading an image of a bundle of educational materials composed of a plurality of educational materials,
In the educational material bundle, a blank original of the educational material in which the answer column and the correct / incorrect determination are not entered, the original scoring information input original, the answer to the answer column, and the correct / incorrect determination for the answer are added. The teaching material processing apparatus according to claim 1, further comprising: a completed teaching material. The learning material processing apparatus according to claim 5, further comprising: a determination unit that determines whether the blank original, the scoring information entry original, and the completed educational teaching material are of the same type. An image input step of obtaining an image data from the educational material by reading an image of the educational material having an answer column;
Based on the image data obtained in the image input step with respect to the original scoring information entry that is a teaching material in which scoring is entered in the answer field, the content of the scoring is extracted, Scoring information extraction step for recognizing information on the position of the answer field on the educational material as the score information of the answer field;
A correct / incorrect determination recognition step for extracting entry contents of the correct / incorrect determination based on the image data obtained in the image input step for the educational material in which the answer to the answer column and the correct / incorrect determination for the answer are added;
The educational information is obtained by scoring and summing up the correctness / incorrectness determinations written in the educational material by associating the recognition results of the distributed information in the allocated information extraction step with the extracted result of the correctness / incorrectness determination in the correctness / incorrectness recognition step. A teaching material processing method, comprising: a score calculating step for calculating a score at. A computer connected to an image reading device that reads an image of an educational material having an answer column and obtains image data from the educational material;
Based on the image data obtained by the image reading device for the original scoring information entry which is a teaching material in which scoring is entered in the answer field, the content of the scoring is extracted, and the scoring for the answer field Scoring information extracting means for recognizing information on the position of the answer field on the educational material as the score information of the answer field;
Correctness determination recognizing means for extracting the content of the correctness determination based on the image data obtained by the image reader for the educational material in which the answer to the answer column and the correctness determination for the answer are added;
The educational material is obtained by scoring and summarizing the correctness / incorrectness determination entered in the educational material by associating the recognition result of the distributed information by the distributed information extracting unit with the extracted result of the correctness / incorrectness determination by the correctness / error recognition unit. A teaching material processing program that functions as a score calculation means for calculating a score in a program.

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