JP2007004319A - Teaching material processing apparatus, teaching material processing method and teaching material processing program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To save on the trouble of scoring and grading checked educational teaching materials while increasing the accuracy of scoring and grading and dispensing with unnecessary labor. <P>SOLUTION: A teaching material processing apparatus: comprises an image input means 3 for reading in an image of an educational teaching material with answers written in answer fields and check results of the answers written to capture image data; a recognition means 5 for recognizing the written contents of the check results according to the image data; calculation/processing means 6 and 7 for scoring and grading the check results written on the educational teaching material according to the recognition results by the recognition means 5; and a printing means 8 for printing out the scoring and grading results on the educational teaching material. <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 the scoring process. In order to respond to this, labor savings in scoring and summarization can be achieved by, for example, scanning an answer sheet in which students fill in answers and teachers enter scores for each question. Character recognition of score entry is performed, the total score for all questions and other information (for example, overall ranking and average score) for all questions are counted from the character recognition result, and the totaled result is printed on the answer sheet Thus, a system that improves the efficiency of the aggregation has been proposed (see, for example, Patent Document 1).

JP 2002-245207 A

However, the conventional labor-saving technique for scoring described above has the following problems.
For example, in the scoring process, the teacher not only makes a correct / incorrect decision on answer entry by the student, but also adds a score for each question according to the correct / wrong decision on the answer sheet. Since it is necessary to scan, it is necessary to fill in the score for each problem. Furthermore, in order to make the character recognition of the problem-specific score added on the answer sheet accurate, the problem-specific score must be entered carefully, and the teacher may feel bothered in this respect as well. There is.
In addition, when performing scoring and summarization processing, character recognition for problem-specific scores is required, but the character recognition accuracy for handwritten characters is not necessarily good, and misrecognition occurs, resulting in summing errors. It can happen.

  Therefore, the present invention aims at saving labor for scoring and summarizing processing for educational materials, and even in such a case, teaching material processing that can perform scoring and summarizing processing accurately and without requiring more trouble than necessary. An object is to provide an apparatus, a teaching material processing method, and a teaching material processing program.

  The present invention is an educational material processing apparatus devised to achieve the above object, and performs image reading on an educational material in which an answer is entered in an answer column and whether a correct / incorrect determination is entered in the answer column. Image input means for obtaining image data from teaching materials, recognition means for recognizing the contents of the correct / incorrect determination based on the image data obtained by the image input means, and the image input means based on the recognition result by the recognition means The calculation / calculation means for performing scoring of correct / incorrect judgment entered in the educational material for the educational material from which the image was read, and the correct / incorrect judgment are entered as the result of scoring of correct / incorrect judgment by the calculation / computing means And a printing means for printing out on the educational material.

  In addition, the present invention is a teaching material processing method devised to achieve the above-mentioned object, and performs image reading on an educational teaching material in which an answer is entered in an answer column and whether a correct / incorrect determination is entered for the answer. An image input step for obtaining image data from educational materials, a recognition step for recognizing the contents of the correct / incorrect determination based on the image data obtained in the image input step, and the image based on the recognition result in the recognition step A calculation / calculation step for scoring and summarizing the correctness / incorrectness judgment entered in the educational material for the educational material that has been image-read in the input step, and the correctness / incorrectness determination of the scoring and summarizing result of the correctness / incorrectness determination in the calculation / calculation step And a print step for printing out on the educational material in which is entered.

  In addition, the present invention is an educational material processing program devised to achieve the above-mentioned object, and performs image reading on an educational educational material in which an answer is entered in an answer column and correct / incorrect judgment is entered for the answer. An image reading device for obtaining image data from an educational teaching material and a computer connected to a printing device for performing print output on the educational teaching material, the contents of the correctness determination entry based on the image data obtained by the image reading device Recognizing means for recognizing, and calculating / calculating means for calculating the correctness / incorrectness scoring entered in the educational material for the educational material for which the image reading device has read the image based on the recognition result by the recognizing unit; Printing means for causing the printing apparatus to print out the scoring result of the correct / incorrect determination by the calculating / calculating means on the educational material in which the correct / incorrect determination is entered; It is characterized in that to function Te.

According to 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, the content of the correct / incorrect determination (for example, “◯”) based on the image data read from the educational teaching material. Or, after recognizing the “x” graphic shape) and performing the score collection of the correctness / incorrect judgment entered in the educational material based on the recognition result, the score counting result (for example, total score, overall ranking, average score, etc.) ) Is printed out on the educational material from which the image data is read. Therefore, even if an educational material has no additional information about the score for each question, if the correctness / incorrectness determination is entered, automatic counting of the entered correctness / incorrectness is performed through image reading of the educational material. As a result, the scoring process for educational materials is saved. In addition, since the score totaling result is printed out on the educational material, by referring to the educational material after the score totaling, the answer entry person can easily recognize the score totaling result.
In addition, the scoring is based on the recognition result of the contents of correct / incorrect determination. Therefore, prior to scoring, it is only necessary to fill in the contents of correct / incorrect determination (for example, “◯” or “×” graphic) on the educational material, and the time and effort for adding the score to the answer is not required. Furthermore, it is only necessary to perform recognition (for example, graphic shape recognition) on the contents of the correctness determination instead of character recognition on handwritten characters, and thus the recognition accuracy can be improved.

  As described above, the teaching material processing apparatus, the teaching material processing method, and the teaching material processing program of the present invention enable the labor saving of the scoring and summarizing processing for the teaching materials used in educational institutions, and the scoring and summing processing thereof. Can be performed with high accuracy and without requiring more labor than necessary. Therefore, it is very convenient for use in educational institutions, and it is possible to smoothly perform highly reliable scoring processing.

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

[Description of basic functional configuration]
First, the basic functional configuration of the teaching material processing apparatus will be described. FIG. 1 is a block diagram showing a functional configuration example of a teaching material processing apparatus according to the present invention. As shown in the figure, the teaching material processing apparatus includes an original image storage unit 1, an original image information storage unit 2, an image input unit 3, an additional recording data extraction unit 4, an additional recording data recognition unit 5, and an information calculation unit 6. And a calculating means 7 and a printing means 8.

  The original image storage means 1 and the original image information storage means 2 are electronic data for specifying the original image, which is electronic data about educational materials to be processed and whose answer columns are not filled in. Is stored and accumulated.

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 9 has a question and its answer column 9a, and specifically corresponds to a test answer sheet, a practice question sheet, and the like used in an educational institution. However, the educational material 9 only needs to have at least an answer column 9a, and the question sentence is not necessarily described.
The educational material 9 includes an identification information field 9b for identifying and specifying the educational material 9 and an answerer information field 9c regarding an answer entry person in the answer field 9a. In the identification information column 9b, for example, a subject, a title, an applicable grade, etc. of the educational material 9 are described in advance. However, in addition to or in addition to these descriptions, code information for identifying the educational material 9 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 9c, the class, attendance number, name, etc. of the answerer can be entered.
Further, the educational material 9 has an information output field 9d. In the information output column 9d, the total score for the answer entered in the answer column 9a and other information attached to the total score, for example, information such as an average score in class units or grade units, an overall ranking, a deviation value, etc. are entered. Is to do.

As long as such electronic data for the educational material 9 can be stored and stored in the original image storage unit 1 and the original image information storage unit 2, the data format is not limited. For example, it may be bitmap image data or application document data created by document creation software.
However, the electronic data of the educational material 9 includes the educational material in addition to the data (hereinafter referred to as “original image data”) that can specify the layout of the answer field 9a and the identification information field 9b in the educational material 9. It is assumed that information (hereinafter referred to as “original image information”) for specifying nine attributes (subjects, titles, applicable grades, etc.) and points for each answer column 9a in the educational material 9 is included. With this original image information, for each answer field 9a on the educational material 9 for teaching, it is specified which number of points are assigned to the answer field 9a at which position. Scoring may be different for each answer column 9a or may be uniform.
Of the electronic data of the educational material 9, the original image data is stored and stored in the original image storage unit 1, and the original image information is stored and stored in the original image information storage unit 2.

  In FIG. 1, the image input means 3 inputs an answer in the answer field 9a, enters a name and the like in the answerer information field 9c, and determines whether the answer is correct (specifically, for example, “O” or “X”). The image data is obtained from the educational material 9 by performing image reading using a known optical image reading technique on the educational material 9 in which the graphic) is entered.

The additional writing data extracting means 4 extracts the additional writing contents to the educational teaching material 9, particularly the contents of the correct / incorrect determination entry, based on the image data of the educational teaching material 9 obtained by the scanner unit 10. For this purpose, the postscript data extraction unit 4 includes a comparison extraction unit 4a and a predetermined color extraction unit 4b.
The comparison extraction means 4a compares the image data of the educational material 9 obtained by the scanner unit 10 with the original image data of the educational material 9 stored in the original image storage means 1, and The difference, that is, the content to be added to the educational material 9 read by the image input means 3 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 predetermined color extracting means 4b is for extracting the contents of the correct / incorrect determination entry from the difference extracted by the comparison extracting means 4a. Extraction of the contents of the correct / incorrect determination may be performed by extracting a predetermined color component, specifically, a red component through a color component recognition process on the extraction result in the comparison and extraction unit 4a. This is because the correct / incorrect determination is generally entered in red.

The additional record data recognizing means 5 recognizes the entry contents of the extraction result of the correct / incorrect determination by the additional record data extracting means 4, specifically “correct (O)” or “incorrect answer (×)”. It recognizes whether it is. For this purpose, the postscript data recognition means 5 has a pixel group dividing means 5a and a shape recognition means 5b.
The pixel group dividing unit 5a collects pixel data related to each other (for example, those located in close proximity) as a single pixel group with respect to the extraction result obtained by the additional record data extracting unit 4, and the extracted result is a plurality of pixel groups. In this way, a pixel group that will constitute one figure shape (“◯” or “×”) is obtained.
The shape recognizing unit 5b recognizes the shape of each pixel group divided by the pixel group dividing unit 5a and recognizes the contents of the correct / incorrect determination. Shape recognition may be performed, for example, by pattern matching with a graphic shape of “◯” or “×”. Alternatively, the feature amount of the recognition target figure may be calculated and the shape may be recognized from the feature amount. Examples of the feature amount include the number of holes, the area ratio of the target graphic occupying the circumscribed rectangle, and the like.

  The information calculation means 6 reads the image input means 3 based on the recognition result of the correct / wrong entry contents by the additional data recognition means 5 and the original image information held and accumulated in the original image information accumulation means 2. With respect to the educational teaching material 9 that has been subjected to, the totals score in the educational teaching material 9 is calculated by summing up the scores of the correctness / incorrect judgment entered in the educational teaching material 9.

  Based on the calculation result by the information calculation means 6, the calculation means 7 is for other information attached to the total score that is the calculation result, for example, information such as an average score in class units or grade levels, an overall ranking, a deviation value, etc. In order to obtain these, an operation is performed. It is assumed that what kind of information is calculated is determined in advance.

  The printing unit 8 prints out the calculation result by the information calculation unit 6 and the calculation result by the calculation unit 7 on the educational material 9 for obtaining the calculation result and the calculation result using a known electrophotographic technique. is there.

[Explanation of specific schematic configuration]
Next, a system configuration for realizing the teaching material processing apparatus having the above functional configuration will be described with a specific example. FIG. 3 is a block diagram showing a specific system configuration example of the teaching material processing apparatus according to the present invention. As shown in the figure, the system described here is roughly divided into a scanner unit 10, a data processing unit 20, a printer unit 30, and a wired or wireless communication line (not shown) that connects them to each other. , Is composed of.

  The scanner unit 10 obtains image data from the educational material 9 to be processed, and realizes the function as the image input unit 3 described above. However, the scanner unit 10 has an ADF (Automatic Document Feeder) so that image data can be read continuously from a plurality of educational materials 9.

  The data processing unit 20 uses functions as a computer device that realizes an information storage processing function, an image processing function, an arithmetic processing function, etc., and performs data processing on the image data obtained by the scanner unit 10 and its data processing result. Based on the scoring process. For this purpose, the data processing unit 20 includes a database unit 21, an image data analysis unit 22, a teaching material discrimination unit 23, a distortion correction unit 24, a comparison extraction unit 25a, a predetermined color extraction unit 25b, and a pixel group division unit. 26a, a shape recognition unit 26b, an entry position recognition unit 26c, an answerer extraction unit 27, an information calculation unit 28, and a calculation unit 29.

  The database unit 21 stores and accumulates electronic data (original image data and original image information) about the educational material 9 to be processed. That is, the database unit 21 realizes the functions as the original image storage unit 1 and the original image information storage unit 2 described above.

  The image data analysis unit 22 performs an analysis process on the image data obtained by the scanner unit 10. 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 discrimination unit 23 includes at least one of a title analysis unit and a code information analysis unit. As a result of the analysis process in the image data analysis unit 22, especially the title analysis or code by the title analysis unit for the identification information column 9b. Based on the result of at least one of the code analysis by the information analysis unit, the educational teaching material 9 that is the basis of the image data obtained by the scanner unit 10 is identified and specified. At this time, in the teaching material discriminating unit 23, if the database unit 21 compares the teaching material 9 that holds and stores electronic data and the corresponding electronic data is not stored and stored in the database unit 21, identification of the teaching material is performed. A specific error is determined. That is, the teaching material determination unit 23 specifies electronic data to be compared with the image data obtained by the scanner unit 10 from the analysis result of the image data analysis unit 22.

  The distortion correction unit 24 corrects image distortion in the image data obtained by the scanner unit 10. Examples of image distortion correction include tilt correction and enlargement / reduction correction in the main scanning direction or sub-scanning direction. Furthermore, the image data obtained by the scanner unit 10 and the electronic data in the database unit 21 to be compared may be compared and collated to correct the image distortion (tilt, scaling, etc.). Since any correction may be realized using a known image processing technique, detailed description thereof is omitted here.

  The comparison and extraction unit 25a is image data obtained by the scanner unit 10 based on the identification and identification result of the educational material 9 by the educational material determination unit 23, and after the image distortion correction processing by the distortion correction unit 24. Are compared with the electronic data in the database unit 21 to be compared, and the difference between them is extracted. That is, the comparison and extraction unit 25a realizes the function as the comparison and extraction unit 4a described above.

  The predetermined color extraction unit 25b further extracts a predetermined color component (for example, a red component) from the difference extracted by the comparison extraction unit 25a based on the result of the analysis processing in the image data analysis unit 22. Thus, the contents of the correct / incorrect determination entry are extracted. That is, the predetermined color extracting unit 25b realizes the function as the predetermined color extracting unit 4b described above.

  The pixel group dividing unit 26a obtains a pixel group that will constitute one graphic shape (“◯” or “×”) from the extraction result of the predetermined color extracting unit 25b. That is, the pixel group dividing unit 26a realizes the function as the pixel group dividing unit 5a described above. Note that the pixel group dividing unit 26a performs discontinuity correction processing, as will be described in detail later, when dividing the pixel group. The interruption correction process is a process for connecting the extracted line segments and eliminating the interruption between the extracted line segments.

  The shape recognizing unit 26b performs shape recognition on the content of the correct / incorrect determination that has been extracted by the predetermined color extracting unit 25b and divided into pixel groups by the pixel group dividing unit 26a. Recognize. That is, the shape recognition part 26b implement | achieves the function as the shape recognition means 5b mentioned above.

  The entry position recognition unit 26c recognizes the entry position on the educational material 9 for the entry contents of the correctness / incorrectness determination in which the shape is recognized by the shape recognition unit 26b. The entry position may be recognized by, for example, coordinate analysis on the educational material 9.

  The answerer extraction unit 27 is composed of 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 22, Of the differences extracted by the comparison / extraction unit 25a, the scanner unit 10 is subjected to the difference of the answerer information column 9c through character information extraction by the attendance number information cut-out unit from the difference and character recognition processing by the handwritten OCR unit. The answerer information is extracted from the educational material that was read in step (1). The answerer information includes information for identifying the answerer such as the class of the answerer, attendance number, name, and the like.

  The information calculation unit 28 recognizes the result of the correct / incorrect determination by the shape recognizing unit 26b, the result of the correct / incorrect determination by the input position recognizing unit 26c, and the educational material 9 stored and accumulated in the database unit 21. Based on the scoring information for each answer field 9a of the educational material 9 included in the electronic data, the educational material 9 for which the scanner unit 102 has read the image is entered in the educational material 9 The correctness determination is scored and the total score is calculated. That is, the information calculation unit 28 realizes the function as the information calculation means 6 described above.

  The calculation unit 29 associates the calculation result obtained by the information calculation unit 28 with the answerer information extracted by the answerer extraction unit 27, and other information associated with the total score that is the calculation result obtained by the information calculation unit 28, for example, a class Calculations are performed on information such as the average score, overall rank, and deviation value in units or grades. That is, the calculation part 29 implement | achieves the function as the calculating means 7 mentioned above.

  The printer unit 30 prints out the processing result in the data processing unit 20, more specifically, the calculation result by the information calculation unit 28 and the calculation result by the calculation unit 29 on the educational teaching material 9 from which the calculation result and the calculation result are obtained. To do. That is, the printer unit 30 realizes the function as the printing unit 8 described above.

By the way, the printer unit 30 prints out the medium taken out from the paper feed tray one by one. Therefore, before the printer unit 30 performs printing output, after the image is read by the educational material 9 to be printed out, that is, the scanner unit 10 in the paper feed tray of the printer unit 30. It is assumed that the educational material 9 is set.
In this case, the educational material 9 after image reading is fed into the paper feed tray of the printer unit 30 through a conveyance path (not shown) connecting the scanner unit 10 and the printer unit 30. Can be considered. That is, a conveyance path for conveying the educational material 9 is provided between the scanner unit 10 and the printer unit 30, and the educational material 9 after image reading by the scanner unit 10 is automatically supplied to the printer unit 30. Be transported into the paper tray.
On the other hand, the educational material 9 does not necessarily have to be automatically conveyed, and for example, it may be manually transferred from the scanner unit 10 to the printer unit 30. However, in the case of manual transfer, there may be a difference between the image reading order in the scanner unit 10 and the order in which the printer unit 30 is set in the paper feed tray. Therefore, between the paper feed tray and the printer engine unit, an information reading processing unit (for identifying and specifying the educational material 9 for the educational material 9 to be printed by the printer engine unit ( However, it is desirable to have (not shown). The information reading processing unit identifies and specifies the educational teaching material 9 by the same method as the reading sensor for reading information from a predetermined location on the educational teaching material 9 and the above-described teaching material determination unit 23, the answerer extraction unit 27, and the like. It is conceivable that the information processing unit is configured to be configured.

  Of the teaching material processing apparatus having the system configuration including the scanner unit 10, the data processing unit 20, and the printer unit 30 as described above, the units 21 to 29 configuring the data processing unit 20 are preliminarily stored in a predetermined program in a computer device, for example. It is conceivable that this is realized by installing and executing the predetermined program. However, in this case, the predetermined program for realizing each unit 21 to 29 is not installed in advance, but may be provided by being stored in a computer-readable storage medium, or wired or It may be distributed via wireless communication means. That is, the teaching material processing apparatus having the above-described configuration can be realized by a teaching material processing program that causes a computer connected to the scanner unit (image reading device) 10 and the printer unit (printing device) 30 to function as a teaching material processing device. .

[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. 4 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, students etc. fill in the answerer information column 9c with their name, etc. and the answer column 9a, and the teacher etc. fill in each answer column 9a. For the educational material 9 in which a correct / wrong determination figure such as “◯” or “x” is entered, the scanner unit 10 reads an image and obtains image data from the educational material 9 (step 101, hereinafter) Step is abbreviated as “S”). At this time, by using ADF, for example, a plurality of educational materials 9 to be processed in one group such as the same class are read in a batch, and continuously from each educational material 9. Image data can be obtained.

  The image data obtained by reading the image by the scanner unit 10 is sent to the data processing unit 20 and temporarily held in a memory or the like used as a work area of the data processing unit 20. Further, all of the educational material 9 after image reading is fed into the paper feed tray of the printer unit 30 by an automatic conveyance path or by a person such as a teacher. At this time, it is desirable that the educational material 9 is set in the paper feed tray in the order of image reading by the scanner unit 10.

  Thereafter, automatic scoring processing, which will be described in detail later, is sequentially performed on the respective image data obtained from each educational material 9 (S102). Then, after the correctness / incorrectness determination in each educational material 9 is scored and summed up by the automatic scoring process and the total score is calculated, the summing calculation process described in detail later is performed (S103). In the total calculation processing, the total score, for example, the average score, the overall ranking, the deviation value, etc. in class units or grade units, while associating the calculation result of each total score with the answerer information obtained from each educational material 9 An operation is performed on other information associated with.

  After the automatic scoring process and the totaling calculation process in the data processing unit 20 are completed, the printer unit 30 then sequentially performs the automatic scoring process on each educational material 9 set in the paper feed tray. A printout of the calculation result and the calculation result in the total calculation process is performed (S104). At this time, if the educational material 9 in the paper feed tray is set in the image reading order in the scanner unit 10, the calculation result in the automatic scoring process and the calculation result in the totaling calculation process are in accordance with the image reading order. That is, it is possible to print out in the order of the automatic scoring process and the totaling calculation process. As a result of this printout, the calculation result in the automatic scoring process and the calculation result in the total calculation process are added to the information output column 9d on the educational material 9 from which the calculation result and the calculation result are obtained and output. is there.

  Subsequently, the automatic scoring process, the totaling calculation process, and the print output process in the above processing operation example will be described in more detail.

[Description of automatic scoring]
The automatic scoring process is performed according to the following procedure. That is, in the automatic scoring process, in the data processing unit 20, the image data analysis unit 22 analyzes the image data obtained from one educational teaching material 9, and the teaching material is discriminated based on the result of the analysis processing. The unit 23 identifies and specifies the educational material 9. 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 identification information column 9b. Through this identification and specification, the teaching material determination unit 23 can specify the electronic data to be compared with the image data obtained by the scanner unit 10. Note that this identification and specification may be performed sequentially for each of the plurality of educational materials 9 from which the scanner unit 10 has read an image. However, the educational materials 9 that are generally processed in one group are all the same. Therefore, it is sufficient to perform only the educational material 9 that is processed first during the batch processing.

  When the teaching material discriminating unit 23 specifies the electronic data, the database unit 21 takes out the corresponding electronic data from the stored and stored according to the specifying result, and transfers it to the comparison and extraction unit 25a.

  For image data obtained from a single educational material 9, the distortion correction unit 24 corrects the image distortion in the image data. This image distortion correction is performed in order to correct image distortion that may occur when the scanner unit 10 reads an image, and is used to improve accuracy such as comparison with subsequent electronic data and difference extraction. Is.

  The comparison extraction unit 25a compares the electronic data delivered from the database unit 21 with the image data obtained by the scanner unit 10 and corrected for image distortion by the distortion correction unit 24, respectively. The difference is extracted. By this difference extraction, the contents entered in the answerer information column 9c and each answer column 9a and the contents entered for correct / incorrect determination in each answer column 9a are extracted.

  When the comparison and extraction unit 25a extracts the difference, the answerer extraction unit 27 thereafter extracts the answerer information in the educational teaching material that is read by the scanner unit 10 through character recognition processing or the like for the difference. As a result, it is possible to specify the class, attendance number, name, etc. of the answer entry person who entered the answer in one educational material 9 for education.

  In addition, for the difference extraction result by the comparison and extraction unit 25a, in order to extract the contents of the correct / incorrect determination entry in each answer column 9a, the predetermined color extraction unit 25b further extracts a 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.

  By the way, in general, there are a plurality of answer fields 9 a on the educational material 9, and correct / wrong judgments are entered at a plurality of locations on the educational material 9. Therefore, in order to recognize the contents of the correct / incorrect determination, it is necessary to handle a plurality of items separately.

  Therefore, the pixel group dividing unit 26a performs pixel group division on the extraction result obtained by the predetermined color extracting unit 25b. The pixel group division may be performed by collectively handling pixel groups at close positions. That is, it is determined that pixels located at a position closer than a preset distance constitute one graphic shape, and labeling, which is a general image processing technique, is performed on a continuous pixel group located at the adjacent position. Processing is performed to enable discrimination from other groups of continuous pixels. By using the result of such labeling processing, it is possible to handle consecutive pixel groups that will form one graphic shape (“◯” or “×”) as one group after pixel group division. become.

  In addition to the pixel group division using the labeling process, the pixel group division unit 26a preferably also performs a break correction process on the extraction result of the predetermined color extraction unit 25b before the above process. On the educational material 9, the entry of a correct / incorrect figure such as “○” or “×” is performed on the question sentence, a frame for identifying each answer field 9 a, the contents of answer entry in each answer field 9 a, etc. In many cases, the extraction result of the predetermined color component by the predetermined color extracting unit 25b may be a result of removing the overlapped portion, that is, a discontinuous portion in a figure such as “◯” or “×”. Because it is expensive.

  Here, the discontinuity correction process performed by the pixel group dividing unit 26a will be described in detail.

FIG. 5 is an explanatory diagram illustrating an example of the interruption correction process.
In the interruption correction process, as shown in FIG. 5A, for the extraction result of the predetermined color component by the predetermined color extraction unit 25b, that is, the extraction result that should be a graphic such as “◯” or “×”, 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. 5B is extracted, even if the end points B and C exist within a predetermined distance from the end point A, the nearest end point B is within that range. It is connected to the end point A, and the discontinuity portion in the graphic “◯” is corrected.

FIG. 6 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 predetermined color extraction unit 25b, the image data after the image distortion correction by the distortion correction unit 24 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. 6A, the binarization process is performed on the image data after the image distortion correction by the distortion correction unit 24 (S301). However, if binarization processing is performed at the time of difference extraction by the comparison extraction unit 25a or extraction of the predetermined color component by the predetermined color extraction unit 25b, the image data after the binarization processing may be used. .
Further, the thinning process is executed for the extraction result of the predetermined color component by the predetermined color extraction unit 25b (S302), and the end point extraction process is further executed (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).
Thereby, for example, when the figure shown in FIG. 6B 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”.

After the pixel group dividing process and the discontinuity correction process by the pixel group dividing unit 26a as described above, the shape recognizing unit 26b recognizes the shape of the entered contents of the correct / incorrect determination, that is, pattern matching with the graphic shape of “◯” or “×”. To confirm whether the entry contents of the correct / incorrect determination are “correct answer” or “incorrect answer”. 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 graphic occupying the circumscribed rectangle may be used as the feature amount, and the description thereof is omitted here.

  When the shape recognizing unit 26b recognizes the shape of the entry contents of the correct / incorrect determination, the entry position recognizing unit 26c subsequently recognizes the entry position on the educational material 9 for the input contents of the correct / incorrect determination.

Here, the recognition processing of the correct / incorrect determination entry position by the entry position recognition unit 26c will be described in detail. FIG. 7 is a flowchart illustrating an example of a recognition processing procedure for a correct / incorrect determination entry position.
In recognition processing of the correct / incorrect determination entry position, since a plurality of correct / incorrect determinations are entered on the educational material 9, 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 9, that is, the number of answer columns 9a (S402), 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 9 are recognized while incrementing the count number K (S405) (S402 to S405).

  In this manner, after the entry position recognition unit 26c recognizes the correct / incorrect determination entry position, the information calculation unit 28 performs scoring for correct / incorrect determination. At this time, the information calculation unit 28 holds the scoring summary in the database unit 21, the recognition result of the correctness determination entry content by the shape recognition unit 26 b, the correctness determination entry position recognition result by the entry position recognition unit 26 c, and the like. This is performed based on the scoring information for each answer field 9a of the educational material 9 included in the stored electronic data of the educational material 9.

However, although entry of correct / incorrect judgment is generally performed corresponding to each answer field 9a on the educational material 9, it is handwritten by a teacher or the like, so the entry position for each answer field 9a is not necessarily uniquely determined. I don't mean.
On the other hand, it is necessary to clarify the correspondence between each answer column 9a and the entry position of the correct / incorrect determination in scoring the correct / incorrect determination. The scoring of correct / incorrect determination is performed based on the correct / incorrect determination corresponding to each answer field 9a and the result of the correct / incorrect determination (whether it is correct or incorrect) and the score for each answer field 9a. Because.

  Therefore, the information calculation unit 28 performs scoring for correct / incorrect determination in the following procedure. That is, the information calculation unit 28 obtains an overlapping area between the circumscribed rectangle of the correct / incorrect determination graphic such as “◯” or “x” and the area to be the answer column 9a on the educational material 9 and calculates the area (the area relative to the circumscribed rectangle). The correct / incorrect determination figure having the largest ratio) and the answer column 9a are associated with each other, and the correct / incorrect determination figure is set as the correct / incorrect determination result entered for the answer column 9a. 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. Then, after the association, if the correct / incorrect determination figure is “◯”, the points specified from the corresponding point information about the answer column 9a are added, and the correct / incorrect determination figure is “×”. If there is, no score addition is performed for the corresponding answer field 9a, and such scoring is performed for all the answer fields 9a on the teaching material 9 for education.

The area that becomes the answer column 9a on the educational material 9 is specified by the answer column position area information included in the electronic data of the educational material 9 as the score information for each answer column 9a or in the same manner as the score information. Shall be. FIG. 8 is an explanatory diagram showing a specific example of answer column position area information. The answer column position area information includes the number of the question existing on the educational material 9, the points assigned to the answer of the question, and a predetermined point (for example, the upper left vertex) of the area treated as the answer column 9 a for entering the answer of the question The xy coordinates and the width (W) and height (h) of the circumscribed rectangle are stored and stored in advance in the database unit 21 in a table format that associates them with each other as shown in the figure. It is what.
The following method may be used for scoring the correctness determination in the information calculation unit 28. The circumscribed rectangle center coordinates of the calculated correct / incorrect determination figure (“○” or “×”) are compared with the answer field position area information, and a predetermined point (for example, the upper left vertex) of the area described in the answer field position area information When the circumscribing rectangle center coordinates of the correct / incorrect determination figure are included in the rectangular area indicated by the xy coordinates and the width (W) and height (h) of the circumscribing rectangle, they are associated with each other.

Here, the score calculation for correct / incorrect determination by the information calculation unit 28 will be described in more detail. FIG. 9 is a flowchart illustrating an example of a processing procedure for scoring the correct / incorrect determination.
Since the plurality of correct / incorrect determinations are entered on the educational material 9 when scoring the correct / incorrect determination, first, the count number K for the correct / incorrect determination is set to “1” (S501). Thus, until the count number K exceeds the number of correct / incorrect determinations that can exist on the educational material 9, that is, the number of answer columns 9a (S502), correct / incorrect determination detected in a predetermined scanning order (“◯ ”Or“ x ”graphic), the processing for scoring is performed in order from the first.
That is, the area of the circumscribed rectangle of the Kth “◯” or “x” figure is calculated, and this is set to “L” (S503). Further, the count number P for the number of answer columns 9a (= number of questions) is set to “1” (S504), and if the count number P is less than or equal to the number of questions existing on the educational material 9 (S505). The answer field position area information about the answer field 9a is taken out. Then, an overlapping area between the Kth circumscribed rectangle and the Pth region is calculated, and the calculation result is “S (P)” (S506). Further, a ratio between the overlapping area S (P) and the circumscribed rectangular area L is calculated, and this is set as “R (P)” (S507). Such processing is repeated until the count value P is incremented (S508) and is completed for all answer field position area information (S505 to S508).
Thereafter, the maximum value of the ratio R (P) is obtained and is set to “Max” (S509), and the value of the count number P that maximizes the overlapping area S (P) is obtained, and this is designated as “Pmax”. (S510). If the maximum value Max is less than the predetermined threshold Th (S511), it is impossible to associate the correct / incorrect determination graphic with the answer column 9a and the question number corresponding to the correct / incorrect determination graphic is unknown. Judgment is made (S512). On the other hand, if the value of the maximum value Max is equal to or greater than the predetermined threshold Th (S511), then it is determined whether the Kth correctness determination graphic is “◯” or “×” ( S513). As a result, if it is “◯”, the score for the answer to the question of the count number Pmax is added in the “scoring result by question” described later (S514). On the other hand, if “x”, the score is not added to the answer to the question of the count number Pmax, and “0 points” is set (S515).
Such processing is repeated until all the correct / incorrect determinations on the educational material 9 are completed while incrementing the value of the count number K (S516) (S502 to S515).

Through the processing as described above, the information calculation unit 28 can score and sum up the correctness / incorrectness determinations entered in the educational material 9 and obtain the total score.
It should be noted that the processing results obtained by the automatic scoring process of the above procedure, that is, each total score that is the scoring summation result of the correctness / incorrect judgment entered in each educational material 9 is used in the subsequent summation processing. In order to use it as information to be provided, it is assumed that it is associated with the answerer information extracted by the answerer extraction unit 27 and held in a memory or the like used as a work area of the data processing unit 20.

[Explanation of total calculation processing]
In the totaling calculation processing performed after the automatic scoring processing, the total score for each educational material 9 which is the result of scoring by the information calculation unit 28 is held in the work area in association with the answerer information. Using the information held in the work area, the calculation unit 29 performs calculation on information such as an average score, an overall ranking, a deviation value, etc. in class units or grade units. It is assumed that what item (information) the calculation unit 29 performs calculation is set in advance. Note that the arithmetic processing itself performed by the arithmetic unit 29 may be performed using a known technique, and thus detailed description thereof is omitted here.

[Description of print output processing]
In the print output process, the calculation result in the automatic scoring process and the calculation result in the total calculation process are printed out on the educational material 9 for which the calculation result and the calculation result are obtained.

  At this time, if a conveyance path is provided between the scanner unit 10 and the printer unit 30 and the educational material 9 is configured to be automatically conveyed by the conveyance path, Each educational material 9 is fed to the printer unit 30 in the image reading order. Therefore, even when a plurality of educational materials 9 are processed at a time, the calculation result and the total calculation process in the automatic scoring process can be performed through the conveyance timing in the conveyance path, the drive timing control in the printer unit 30, and the like. The relationship between the calculation results (hereinafter simply referred to as “printed output contents”) and each educational material 9 can be correctly maintained, and the printed output contents can be appropriately printed on each educational material 9. Can do.

  On the other hand, even when the teaching material 9 is transferred manually from the scanner unit 10 to the printer unit 30, each educational material 9 is stored in the printer unit 30 while the image reading order in the scanner unit 10 is maintained. It is possible to correctly maintain the relevance between each educational material 9 and the printed output content for each educational material 9 and appropriately place the printed output content on each educational material 9. Can be printed out.

  However, when the teaching material 9 is transferred manually, there may be a difference between the image reading order in the scanner unit 10 and the order in which the printer unit 30 is set in the paper feed tray due to a work mistake or the like. For this reason, when the teaching material 9 is transferred manually, it is desirable to identify and specify the educational material 9 for the educational material 9 to be printed.

  In identifying and specifying the educational material 9, first, information on the educational material 9 to be printed out is read using a reading sensor. This information reading need not be performed over the entire area of the educational material 9 and may be performed only on the area contributing to identification, specifically, for example, the identification information column 9b and the answerer information column 9c. Therefore, the reading sensor for reading information is not a scanner device, but can be realized by a CCD (Charge Coupled Device) sensor or the like disposed between the paper feed tray and the printer engine unit.

  After the information reading by the reading sensor, the information processing unit provided along with the reading sensor identifies and specifies the educational teaching material 9 to be printed out based on the information reading result. . This identification and specification may be performed by a method similar to that of the teaching material determination unit 23, the answerer extraction unit 27, and the like described above. Then, after identifying and specifying the educational material 9, the result of identification and identification is compared with answerer information or the like related to the contents of the print output to be printed, and whether or not these match each other. to decide.

If the result of this determination is that they match, the relationship between the educational material 9 and the printed output content is correctly maintained, so the printer unit 30 does not print out the printed output content as it is. continue. However, if they do not match, there is a high possibility that appropriate print output cannot be performed. Therefore, the print output process is interrupted and an alarm is output to that effect. Alternatively, if they do not match, the printed output content that matches the identification and identification result of the educational teaching material 9 is searched by searching the information held in the work area, and printed out on the educational teaching material 9 May be. Through such processing, it is possible to ensure appropriate print output on each educational material 9 even when the educational material 9 is transferred manually.
The identification and specification of the educational teaching material 9 performed prior to the printout may be performed not only when the educational teaching material 9 is transferred manually but also when it is automatically conveyed by the conveyance path. This is because it is very effective for improving the reliability of print output.

  Printout on the educational material 9 may be performed using a known electrophotographic technique. That is, when the printer unit 30 receives the calculation result by the information calculation unit 28 and the calculation result by the calculation unit 29 from the data processing unit 20, the printer unit 30 performs decomposition on these and converts them into a data format that can be output by the printer unit 30. And print out on the educational material 9. The print output at this time is performed only on a specific area on the educational material 9, specifically, on the information output field 9 d. Therefore, the printer unit 30 needs to recognize the position of the information output column 9d when performing the decompression. The position recognition of the information output column 9d may be performed individually for various types of educational materials 9 based on the identification specification by the educational material determination unit 23 and the electronic data in the database unit 21. However, the position recognition may be omitted if the information output fields 9d in all kinds of educational materials 9 are all set to be the same.

Through the processing in the printer unit 30 as described above, the calculation result in the automatic scoring process and the calculation result in the total calculation process are the information output fields on the educational material 9 from which the calculation result and the calculation result are obtained. It is printed out in 9d.
The print output process in the printer unit 30 does not necessarily have to be performed for both the calculation result in the automatic scoring process and the calculation result in the totaling calculation process, and may be performed at least for the calculation result in the automatic scoring process. This is because the calculation result in the total calculation process is information accompanying the calculation result in the automatic scoring process.

  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 “ After recognizing the “x” graphic shape) and performing the totaling of the correctness / incorrect judgment entered in the educational material 9 based on the recognition result, the totaling result (for example, total score, overall ranking, average score, etc.) ) Are printed out on the educational material 9 from which the image data is read. Therefore, even if the educational material 9 has no additional information about the score according to the problem, if the correctness / incorrectness determination is entered, the image data for the educational material 9 is automatically read through the image reading for the educational material 9. As a result, the scoring process for the educational material 9 is saved. In addition, since the scoring result is printed out on the educational material 9, the answerer or the like can easily recognize the scoring result by referring to the educational material 9 after scoring. .

  In addition, the scoring is based on the recognition result of the contents entered for correctness / incorrectness determination. Therefore, prior to scoring, it is only necessary to fill in the contents of correct / incorrect judgment (for example, “○” or “×” graphic) on the educational material 9, and there is no need to add the score for the answer. As a result, a quick scoring process can be realized. Furthermore, it is only necessary to perform recognition (for example, graphic shape recognition) on the contents of the correctness determination instead of character recognition on handwritten characters, and thus the recognition accuracy can be improved.

  That is, according to the teaching material processing apparatus, the teaching material processing method, and the teaching material processing program in the present embodiment, it is possible to realize the labor saving of the scoring and summarizing processing for the teaching material 9 used in the educational institution and the scoring and summing thereof. It is possible to perform the processing with high accuracy and without requiring more time than necessary. 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 this embodiment, when recognizing the contents of correct / incorrect determination, the image data obtained by image reading is compared with electronic data (original image data) for educational materials for which answers and correct / incorrect determination are not yet entered. The case is given as an example. This is because the comparison object is the original image data, so that it can be expected to improve accuracy such as extraction of entry contents for correct / incorrect determination. However, the content of the correct / incorrect determination is not necessarily recognized in comparison with the original image data. For example, image data obtained from a plurality of educational materials 9 by image reading are compared with each other, and the comparison results indicate the respective contents. It is also conceivable to extract a matching point (ie, a portion such as a question sentence) and a difference (ie, a postscript portion such as an answer or a correct / incorrect determination) and perform based on the difference. In this way, if image data obtained from a plurality of educational materials 9 are compared with each other, it is not necessary to store and store the original image data, so that simplification of the apparatus configuration can be expected.

  Further, in the present embodiment, a case where a difference extraction result of a predetermined color component, specifically, for example, a red component is recognized as an entry content of correctness determination is taken as an example. This is because it is generally considered that the entry of correctness / incorrectness determination is performed in red, and by making the difference for the predetermined color component the correctness / incorrectness determination entry content, the recognition process is facilitated, and that This is to improve the reliability of the recognition accuracy. However, the additional writing part extraction from the educational material 9 represented by the extraction of the contents of the correct / incorrect determination is not necessarily limited to the predetermined color component, particularly the red component, and may be performed using other known methods. It doesn't matter.

In addition, the distortion correction process, the break correction process, and the like described in the present embodiment are performed to improve recognition accuracy, but are not necessarily essential.
Furthermore, when the correct / error determination scoring is performed, when each answer column 9a is associated with the correct / incorrect determination entry position, the overlapping area between the circumscribed rectangle of the correct / incorrect determination figure as described in the present embodiment and the area of the answer column 9a. For example, it is conceivable that the association is performed based on the distance between the respective center coordinates, or the association is simply performed based on whether or not there is an overlapping portion.

  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 schematic structural 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 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 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 a specific example of answer column position area information. It is a flowchart which shows an example of the process sequence of scoring total of a correct / incorrect determination.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Original image storage means, 2 ... Original image information storage means, 3 ... Image input means, 4 ... Additional record data extraction means, 5 ... Additional record data recognition means, 6 ... Information calculation means, 7 ... Calculation means, 8 ... Print means 9 ... Educational teaching material, 9a ... Answer field, 9b ... Identification information field, 9c ... Answerer information field, 9d ... Information output field, 10 ... Scanner part, 20 ... Data processing part, 21 ... Database part, 22 ... Image Data analysis unit, 23 ... teaching material discrimination unit, 24 ... distortion correction unit, 25a ... comparison extraction unit, 25b ... predetermined color extraction unit, 26a ... pixel group division unit, 26b ... shape recognition unit, 26c ... entry position recognition unit, 27 ... answerer extraction unit, 28 ... information calculation unit, 29 ... calculation unit, 30 ... printer unit

Claims (6)

Image input means for obtaining image data from the educational material by reading an image of the educational material in which the answer is entered in the answer column and whether the answer is correct or not is entered;
Recognizing means for recognizing the contents of the correct / incorrect determination based on the image data obtained by the image input means;
A calculation / calculation unit that performs a tally calculation of correctness / incorrectness written in the educational material for the educational material for which the image input unit has read an image based on a recognition result by the recognition unit;
A teaching material processing apparatus comprising: a printing unit that prints and outputs a score totaling result of the correctness / incorrectness determination by the calculation / calculation unit on an educational material in which the correctness / incorrectness determination is entered. The recognizing unit compares the image data obtained by the image input unit with the image data of the educational material for which the answer and the correctness determination are not filled in, and recognizes the content of the correctness determination from the comparison result. The teaching material processing apparatus according to claim 1, wherein: The recognition means compares image data obtained from a plurality of educational materials with the image input means, and recognizes the contents of correct / incorrect determination in each educational material from the comparison result. The teaching material processing apparatus described. The said recognition means recognizes the entry content of the said right / wrong judgment by extracting the image data about the preset color component from the image data obtained by the said image input means. Teaching material processing equipment. An image input step of obtaining image data from the educational material by reading an image of the educational material in which the answer is entered in the answer column and whether the answer is correct is entered,
A recognition step for recognizing the content of the correct / incorrect determination based on the image data obtained in the image input step;
A calculation / calculation step for performing scoring of correct / incorrect judgment written in the educational material for the educational material that was read in the image input step based on the recognition result in the recognition step;
A teaching material processing method, comprising: a printing step of printing out the scoring and summarizing result of the correctness determination in the calculation / calculation step on the educational teaching material in which the correctness determination is entered. An image reading device for obtaining an image data from the educational teaching material by reading an image of the educational teaching material in which the answer is entered in the answer column and whether the correctness / incorrectness determination is entered for the answer, and a print output on the educational teaching material. A computer connected to the printing device
Recognizing means for recognizing the content of the correct / incorrect determination based on image data obtained by the image reading device;
A calculation / calculation means for calculating a score of correctness / incorrectness written in the educational material for the educational material for which the image reading device has read an image based on a recognition result by the recognition unit;
An educational material processing program that causes the printing apparatus to print out the result of scoring and summarizing the correctness / incorrectness determination by the calculating / calculating means on the educational material in which the correctness / incorrectness determination is entered.

Images