JP4807488B2 - Teaching material processing apparatus, teaching material processing method, and teaching material processing program - Google Patents

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, educational materials such as paper tests and practice question sheets are often used in educational institutions such as schools and private schools. 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. In other words, in the scoring process for educational materials, it is necessary to prepare scoring information for the answer column on the educational materials.

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, if the user who uses the system or apparatus manually inputs the scoring information to the system or apparatus that performs the scoring process, it becomes very cumbersome, and an operation error, etc. Is not always preferable.

  Therefore, the present invention makes it possible to perform automatic scoring for the contents of correct / incorrect judgments, while eliminating the need for 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, teaching material processing method, and teaching material processing program that can realize labor saving.

  The present invention is an educational material processing apparatus devised to achieve the above-mentioned object, and performs image reading on an educational material having an answer field and point information about the answer field, and obtains image data from the educational material. A reading means to obtain, a scoring information extraction means for extracting the scoring information from image data obtained by image reading performed by the reading means, and electronic data on the educational teaching material or image data obtained by the reading means Position information extraction means for extracting position information about the answer field, and answer score for recognizing the score for the answer field by associating the extraction result by the score information extraction means with the extraction result by the position information extraction means Correspondence means; storage means for storing and holding the recognition result by the answer score correspondence means as answer score correspondence information; and For the educational material in which the answer is entered in the answer column and the correctness / incorrectness determination for the answer is entered, the correctness / incorrectness determination that extracts the content of the correctness / incorrectness determination from the image data obtained by the image reading performed by the reading means. Recognizing means; and scoring and summarizing means for summarizing scoring of correctness / incorrectness written in the educational material based on the answer-scoring correspondence information stored in the storage means and the extraction result by the correctness / recognition recognizing means. It is characterized by.

  In addition, the present invention provides a teaching material processing method devised to achieve the above object, and performs image reading on an educational material having an answer column and point information on the answer column, and images from the educational material. A reading step for obtaining data, a scoring information extraction step for extracting the scoring information from the image data obtained by the image reading performed in the reading step or the electronic data for the educational material, and the image obtained in the reading step A position information extraction step for extracting position information about the answer column from data or electronic data about the educational material, and an association between the extraction result in the point information extraction step and the extraction result in the position information extraction step Performing an answer score corresponding step for recognizing the score for the answer field, and the answer score An image obtained in the reading step with respect to a teaching step in which the recognition result in the answering step is stored and held as answer-scoring correspondence information, and the educational material in which the answer is entered in the answer field and whether the answer is correct is entered. Based on the correctness determination recognition step for recognizing the entry contents of the correctness determination from the image data obtained by reading, the answer score correspondence information stored in the storage step, and the recognition result in the correctness determination recognition step, the education And a scoring and summarizing step for summarizing scoring for correct / incorrect judgment entered in the teaching material.

  Further, the present invention is an educational material processing program devised to achieve the above object, and reads an image from an educational material having an answer field and point information about the answer field to obtain an image from the educational material. A computer connected to an image reading device for obtaining data; and a score information extracting means for extracting the score information from image data obtained by image reading performed by the image reading device or electronic data on the educational material; Position information extracting means for extracting position information about the answer column from image data obtained by an image reading device or electronic data about the educational material, extraction results by the point information extracting means, and extraction by the position information extracting means An answer scoring correspondence means for recognizing the scoring for the answer field by associating with a result; The reading means performs the storage means for storing and holding the recognition results by the answer / scoring correspondence means as answer / scoring correspondence information, and the educational material in which the answer is entered in the answer column and the correctness / incorrectness determination is entered for the answer. From the image data obtained by reading the image, the correctness determination recognition means for recognizing the entry contents of the correctness determination, the answer score correspondence information stored in the storage means and the recognition result by the correctness determination recognition means, It is characterized by functioning as a scoring means for performing scoring of correct / wrong judgment entered in educational materials.

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, the scoring information included in the educational teaching material is extracted from the image data obtained by reading the educational teaching material. The scoring information possessed by the educational material includes, for example, a description relating to the scoring added to the answer column or question sentence on the educational material. That is, it is conceivable to perform character recognition or the like on the description about the score, and extract the score information from the image data obtained by the reading means. However, in the case where there is electronic data about the educational material, the stipulation information may be extracted from the electronic data instead of the image data.
On the other hand, from the image data obtained by image reading, position information about the answer column of the educational material is extracted. For example, this extraction may be performed through detection of an area recognized as an answer column and coordinate detection for the area. However, when there is electronic data about the educational material, the position information about the answer column may be extracted from the electronic data instead of the image data.
Then, the extracted results of the scoring information and the position information are associated with each other and stored as answering scoring correspondence information. That is, the recognition result of the score for the answer column on the educational material is stored as answer score correspondence information.
Therefore, for example, even if a plurality of questions and their answer columns are arranged on the educational material, and each of them has a different score, each answer can be obtained by using the answer score correspondence information stored in the storage means. Since the correspondence between the columns and the scoring points for each column becomes clear, it is possible to perform scoring for correct / incorrect determination. In addition, since the answer-scoring correspondence information is extracted and created from the image data or electronic data of the educational material, it is not necessary to manually input the scoring information prior to the 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 entry contents of the correctness judgment, and for that purpose, labor such as manual input of scoring information is not required, 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.

  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.

  First, a schematic configuration of the teaching material processing apparatus will be described. FIG. 1 is a block diagram showing a schematic 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 a database unit 1, an image reading 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, figure shape recognition unit 10, entry position recognition unit 11, answer score correspondence information recognition unit 12, scoring totaling unit 13, And a totaling result output unit 14.

  The database unit 1 stores and accumulates electronic data regarding educational materials. Further, the database unit 1 stores and holds answer-scoring correspondence information, which will be described in detail later, in association with each educational material that holds and accumulates electronic data. That is, the database unit 1 functions as a storage unit in the present invention.

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 paper test or a practice question sheet 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.

  Further, the educational material 20 has point information 24 about the answer column 21. The scoring information 24 is information that specifies a scoring for the answer column 21 and is information in which “number” and “score” characters corresponding to the scoring are described. That is, it is information for specifying how many points are assigned to the answer column 21 in which position for each answer column 21 on the educational material. However, as long as the points can be identified, the characters are not necessarily limited to “number” + “point”, and may be, for example, predetermined code information. In addition, the scoring information 24 may be distributed individually corresponding to each answer field 21 on the educational material 20 or may be distributed to several answer fields 21 having the same scoring. It may be what was done. In any case, the scoring information 24 has a certain regularity (problem sentence) in the vicinity of the answering column 21 so that the correspondence with the answering column 21 in which the scoring is specified by the scoring information 24 becomes clear. Etc.) near the end of.

  Such electronic data about the educational material 20 can specify the answer column 21, the identification information column 22, the scoring information 24, etc. in the educational material 20 and the layout of these, and the database unit. Any data format can be used as long as the data can be stored and stored in 1. For example, it may be image data or application document data created by document creation software.

  In FIG. 1, the image reading unit 2 inputs an answer in the answer field 21, enters a name and the like in the answerer information field 23, and correct / incorrect determination on the answer (specifically, for example, “◯” or “×”). The image data is obtained from the educational material 20 by performing image reading using a known optical image reading technique on the educational material 20 in which the graphic) is entered. That is, the image reading unit 2 functions as reading means in the present invention.

  The image data analysis unit 3 performs an analysis process on the image data obtained by the image reading unit 2. 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 the code analysis by the information analysis unit, the educational teaching material that is the basis of the image data obtained by the image reading unit 2 is identified and specified. At this time, the teaching material discriminating unit 4 compares the educational material with which the database unit 1 holds and stores electronic data. If the corresponding electronic data is not stored and stored in the database unit 1, the identification and specification of the educational material is performed. An 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 2 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 2. 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 2 on the basis of the identification and identification result of the educational material by the educational material determination 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 1 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. 2 extracts the answerer information in the educational material that was read. The answerer information includes information for identifying the answerer such as the class of the answerer, attendance number, name, and the like. That is, the answerer extraction unit 7 functions as an answerer extraction means in the present invention.

  The correct / incorrect determination extraction unit 8 extracts the correct / incorrect determination entry 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. 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.

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.
That is, the figure shape recognition unit 10 and the entry position recognition unit 11 function as a correctness determination recognition unit in the present invention.

  The answer-scoring correspondence information recognition unit 12 uses the image data obtained by the image reading unit 2 and the scoring information 24 included in the educational material 20 from the image data corrected by the distortion correction unit 5. While extracting, the positional information about the answer column 21 which the educational material 20 has is extracted, these are matched mutually, the score with respect to the said answer column 21 is recognized, and the recognition result is made into answer score corresponding information. The data is stored in the database unit 1. That is, the answer-scoring correspondence information recognition unit 12 recognizes how many points are assigned to the answer column 21 in which position for each solution column 21 on the educational material 20. Details of the answer-scoring correspondence information recognition unit 12 will be described later.

  The scoring and counting unit 13 corresponds to the recognition result of the entry contents of the correct / incorrect determination by the graphic shape recognition unit 10, the recognition result of the input position of the correct / incorrect determination by the entry position recognition unit 11, and the answer scoring stored in the database unit 1. Based on the information, the teaching material 20 for which the image reading unit 2 has read the image is used for scoring and summarizing the correctness determination entered in the educational material 20. That is, the score totaling unit 13 functions as a score totaling unit in the present invention.

  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 2 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 automatic document feeder (ADF) is attached, it is possible to continuously perform image reading for a plurality of educational materials.
As for each of the other units 1, 3 to 14, excluding the image reading unit 2, a computer device that realizes an information storage processing function, an image processing function, an arithmetic processing function, and the like by executing a predetermined program, such as a PC. It can be realized by using the In this case, it is conceivable that the predetermined program necessary for realizing each of the units 1, 3 to 14 is installed in the PC in advance, but it is not installed in advance but is stored in a computer-readable storage medium. It may be stored and provided, or may be distributed via wired or wireless communication means. That is, the learning material processing apparatus having the above-described configuration can be realized by a learning material processing program that causes a computer connected to the image reading apparatus to function as a learning material processing apparatus.

  Here, the answer-scoring correspondence information recognition unit 12 among the units 1 to 14 described above will be described in more detail. FIG. 3 is a block diagram illustrating an example of a functional configuration of the answer-scoring correspondence information recognition unit. As illustrated, the answer-scoring correspondence information recognition unit 12 includes a layout analysis unit 41, a score information extraction unit 42, an answer column information extraction unit 43, an answer position calculation unit 44, a score acquisition unit 45, and an answer. And a position / scoring correspondence unit 46.

  The layout analysis unit 41 performs layout analysis on the image data obtained by the image reading unit 2 and after the image distortion correction processing by the distortion correction unit 5. More specifically, the layout on the educational material 20 such as “column (multi-column)” is analyzed to recognize the arrangement configuration such as each answer column 21 and the stipulation information 24. The layout analysis unit 41 notifies the score information extraction unit 42 and the score acquisition unit 45 of the analysis result. That is, the layout analysis unit 41 functions as a layout analysis unit in the present invention.

  The scoring information extraction unit 42 is all the scoring information 24 existing on the educational material 20 based on the image data obtained by the image reading unit 2 and after the image distortion correction processing by the distortion correction unit 5. The point information 24 is extracted. For example, the scoring information 24 may be extracted by extracting characters composed of “number” + “dot” characters by character recognition. That is, the score information extracting unit 42 functions as a score information extracting unit in the present invention.

The answer column information extraction unit 43 is the image data obtained by the image reading unit 2 and all the answer columns existing on the educational material 20 based on the image data corrected by the distortion correction unit 5. Each area is recognized and extracted for 21. Specifically, for example, it is conceivable that a symbol having a predetermined shape such as () or [] is extracted by character recognition, and an area specified from a circumscribed rectangle including the symbol is recognized as the answer column 21.
The answer position calculation unit 44 extracts position information on the teaching material 20 for each area recognized by the answer column information extraction unit 43 as the answer column 21. Specifically, for example, xy coordinate coordinate information of a predetermined point (for example, the upper left vertex of the circumscribed rectangle) of each area that is the answer column 21, and information (for example, width (W) and height of the circumscribed rectangle of the area) It is conceivable that the value (H) is extracted and used as position information.
That is, the answer column information extraction unit 43 and the answer position calculation unit 44 function as position information extraction means in the present invention that extracts position information about each answer column 21 on the educational material 20.

The score acquisition unit 45 determines which position based on the result of layout analysis by the layout analysis unit 41, the extraction result by the score information extraction unit 42, and the extraction result by the answer column information extraction unit 43 and the answer position calculation unit 44. The number of points assigned to the answer column 21 existing in the table is specified. This specification is performed by associating the extraction result of the distribution point information 24 by the distribution point information extraction unit 42 with the extraction result of the position information for each answer column 21 by the answer column information extraction unit 43 and the answer position calculation unit 44. It is conceivable that the association is performed on the basis of the distance between the arrangement position of each answer column 21 and the arrangement position of each point information 24 in the same area based on the result of layout analysis. For example, the closest distance may be associated.
In addition, the answer position / scoring correspondence unit 46 uses the answer column information extraction unit 43 and the answer position calculation unit 44, and the answer on the educational material 20 based on the result of the association by the score acquisition unit 45. Information for specifying the number of points assigned to the column 21 is created in a data format suitable for the format stored and accumulated in the database unit 1. The information created by the answer position / scoring correspondence unit 46 is stored and held in the database unit 1 as answer / scoring correspondence information.
That is, the score acquisition unit 45 and the answer position / scoring correspondence unit 46 function as answer score correspondence means in the present invention that recognizes the score for each answer column 21 on the educational material 20.

  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.

  When using the learning material processing apparatus, first, processing for storing and holding the answer-scoring correspondence information in the database unit 1 is performed. Specifically, the original teaching material 20, that is, the teaching material 20 in which the answer column 21 and the answerer information column 23 are not filled in and the correctness / incorrectness determination for the answer is not entered is prepared. For 20, the image reading unit 2 performs image reading. As a result, the teaching material processing apparatus obtains image data from the educational material 20. Note that the teaching material 20 for image reading is stored in the database unit 1 instead of the image data obtained in the image reading unit 2 if the electronic data is stored in the database unit 1. The rasterized electronic data may be used. When there is no electronic data in the database unit 1, the following processing is performed using the image data obtained by the image reading unit 2, and the image data is used as electronic data for the educational material 20 for the database unit. It is also conceivable to store and accumulate in 1 and use it in the subsequent scoring process.

  Thereafter, in the teaching material processing apparatus, the image data analysis unit 3 performs an analysis process on the image data of the educational material 20, and the distortion correction unit 5 corrects the image distortion in the image data. This image distortion correction is performed to correct image distortion that may occur when the image reading unit 2 reads an image. Then, the answer-scoring correspondence information recognition unit 12 recognizes the answer-scoring correspondence information with respect to the image data after the image distortion correction processing by the distortion correction unit 5.

  Here, the recognition of answer / scoring correspondence information by the answer / scoring correspondence information recognition unit 12 will be described in detail.

In recognizing the answer-scoring correspondence information, the layout analysis unit 41 first performs layout analysis. FIG. 4 is an explanatory diagram illustrating an example of layout analysis processing.
The layout analysis unit 41 collects a projection histogram on the vertical and horizontal axes for the image data to be processed, and divides the region by finding a separator (a long line segment that separates the region), a white band region, and the like. This is repeated, and the area division is repeated, thereby recognizing the arrangement configuration of each answering column 21 and the scoring information 24 on the educational material 20. The image data to be processed is obtained by the image reading unit 2 and after the image distortion is corrected by the distortion correction unit 5, and is preferably binarized. This is because binarization can facilitate processing for area division and improve accuracy.
For example, as shown in FIG. 4A, when a projection histogram on the vertical axis and the horizontal axis is collected for a binarized image A of the educational material 20, (a) -1 and (a)- Two histograms are obtained. Among these, in the histogram of (a) -2, there is a break (frequency is “0”) at a point P in the figure. If this is determined to be a white band region, as shown in FIG. In addition, the area can be divided into the B-1 area and the B-2 area. Further, when a projection histogram is also collected for the B-2 region, the histogram (b) -1 is obtained. For the vertical axis direction, only the same result as that obtained when dividing into the B-1 and B-2 regions can be obtained, so there is no need to take a projection histogram. In the histogram of (b) -1, since there are discontinuities (frequency is “0”) and very high frequencies at the locations of Q1 and Q2 in the figure, if this is determined as a separator, FIG. As shown in (c), the region B-2 can be further divided into a region C-1, a region C-2, and a region C-3. Furthermore, if the area division is performed for each of the C-1 area, the C-2 area, and the C-3 area by the same technique, the area division as shown in FIG. 4D can be performed.

When the layout analysis unit 41 divides the region by layout analysis, the score information extraction unit 42 thereafter extracts the score information 24. FIG. 5 is an explanatory diagram showing an example of the scoring information extraction process.
For example, when the region analysis result as shown in FIG. 5A is obtained by the layout analysis in the layout analysis unit 41, the distribution point information extraction unit 42 extracts the distribution point information 24 in units of the divided regions. I do. The scoring information 24 is extracted by performing character recognition on characters existing in each region, and composed of “number” + “point” characters adjacent to each other (for example, “5 points”, “10 points”, etc.). (Characters) may be extracted. By performing such processing, for example, an extraction result of the stipulation information 24 as shown in FIG. 5B is obtained. In addition, when there are a plurality of points information 24 in one area, all the points information 24 is extracted.

  On the other hand, for image data to be processed, the answer column information extraction unit 43 and the answer position calculation unit 44 extract position information about each answer column 21 on the educational material 20. That is, the answer column information extraction unit 43 extracts a symbol having a predetermined shape such as () or [] by pattern matching, and recognizes an area specified from the circumscribed rectangle including the symbol as the answer column 21. In this case, if the symbol of the predetermined shape for specifying the answer column 21 is composed of a predetermined color component specific to the answer column 21 such as blue for easy identification from the question sentence, the answer column information It is also conceivable that the extraction unit 43 recognizes only symbols having a predetermined color component among symbols having a predetermined shape existing on the educational material 20 as symbols that specify the answer column 21. When the answer column information extracting unit 43 recognizes the answer column 21, the position information on the educational material 20 is obtained as the answer position for each area recognized by the answer column information extracting unit 43 as the answer column 21. The calculation part 44 extracts. For example, the xy coordinate coordinate information of a predetermined point (for example, the upper left vertex of the circumscribed rectangle) of each area that is the answer column 21 and information about the circumscribed rectangle of the area (for example, values of width (W) and height (H)) ) Are extracted and used as position information.

  In this way, the scoring information extraction unit 42 extracts the scoring information 24, and when the answer column information extraction unit 43 and the answer position calculation unit 44 extract the position information about the answer column 21, thereafter, the scoring acquisition unit 45 and The answer position / scoring correspondence unit 46 associates the respective extraction results.

FIG. 6 is an explanatory diagram illustrating an example of association.
For example, the association may be performed based on the distance between the arrangement position of each answer column 21 (see FIG. 6A) and the arrangement position of each point information 24 (see FIG. 6B). It is done. For example, the closest distance may be associated. This is because the scoring information 24 is arranged in the vicinity of the answer column 21 so that the correspondence with the answer column 21 in which the scoring is specified by the scoring information 24 becomes clear.

  However, if there is a layout such as a column on the educational material 20, correct association is not always possible when performing only based on the distance. For example, in the case of the example shown in FIG. 7, if only the distance is used, there is a possibility that the association indicated by the solid line arrow in the drawing should be performed as indicated by the broken line arrow in the drawing.

Therefore, associating the position of each answer column 21 with each scoring information 24, it is conceivable to use the result of layout analysis by the layout analysis unit 41 as described below.
For example, since the scoring information 24 is obtained for each region, the scoring information 24 in the same region as the region where the answer column 21 exists is assigned to the scoring information corresponding to the answer column 21 as shown in FIG. 24. However, when a plurality of point information 24 exists in the same area, the corresponding point information 24 is determined according to a predetermined rule. The predetermined rule is based on the distance or position between them (at least one of these, preferably both of them), specifically, the closest scoring information on the upper side when viewed from the position of the answer column 21 is adopted. , And so on. Further, the predetermined rule may be determined based on each positional relationship instead of the distance between the predetermined rules. For example, when the scoring information 24 exists in the upper part of the area, the upper scoring is adopted, and when the scoring information 24 exists in the lower part of the area, the lower scoring is adopted.

  When the score acquisition unit 45 performs such association, the answer position / scoring correspondence unit 46 is based on the result, and how many points are allocated to each answer column 21 on the educational material 20. The information for specifying the data is created in a data format suitable for the format stored and accumulated in the database unit 1. Information created by the answer position / scoring correspondence unit 46 is stored and accumulated in the database unit 1 as answer scoring correspondence information.

  FIG. 8 is an explanatory diagram showing a specific example of answer-scoring correspondence information. The answer-scoring correspondence information in the illustrated example includes the number of the question existing on the educational material 20, the score for the answer of the question, and a predetermined point (for example, upper left) in the area treated as the answer column 21 for entering the answer of the question This is information consisting of the xy coordinates of the vertex) and the width (W) and height (h) of the circumscribed rectangle, and is stored and stored in the database unit 1 in a table format associating them with each other as shown in the figure. It is what.

  Note that the processing for storing the answer-scoring correspondence information as described above in the database unit 1 is preferably performed from the viewpoint of information recognition accuracy based on the image data of the original teaching material 20 as described above. However, it may be performed based on the image data obtained from the educational material 20 in which the entry in the answer column 21 and the answerer information column 23 and the entry of the correctness / incorrectness determination are entered. In that case, it can be performed as part of a scoring process described later, and as a result, improvement in processing efficiency can be expected.

  Next, the scoring process for the correct / incorrect determination entered on the educational material 20 will be described. FIG. 9 is an explanatory diagram showing an example of the processing operation of the score totaling process in the teaching material processing apparatus according to the present invention.

  In the scoring process, first, a student or the like enters a name or the like in the answerer information column 23 and an answer in the answer column 21, and “○” for the answer entered in each answer column 21 by a teacher or the like. The image reading unit 2 reads an image of the educational material 20 in which a correct / wrong determination figure such as “x” is entered, and obtains image data from the educational material 20 (step 101; S ”). At this time, if ADF is used, for example, a plurality of educational teaching materials 20 to be processed in one group such as the same class are read in a batch, and images are continuously acquired from the educational teaching materials 20. Data can be obtained. The image data obtained by reading the image is once stored in a memory or the like used as a work area.

  Thereafter, the following automatic scoring process is sequentially performed on each image data obtained from each educational material 20 (S102).

  That is, the image data analysis unit 3 performs an analysis process on image data obtained from a single educational material 20, and the educational material determination unit 4 identifies and specifies the educational material 20 based on the result of the analysis process. Do. This identification and specification may be performed through title analysis such as “Science”, “5 years”, “1. Changes in weather and temperature” or code analysis of code information embedded in the teaching material determination unit 4. Through this identification and specification, the teaching material determination unit 4 can specify the electronic data to be compared with the image data obtained by the image reading unit 2. This identification and identification may be performed sequentially for each of the plurality of educational materials 20 from which the image reading unit 2 has read the image, but all the educational materials 20 that are generally processed in one group are all included. Since they are the same, it is only necessary to perform the educational material 20 that is processed first during the batch processing.

  When the teaching material discriminating unit 4 specifies the electronic data, the database unit 1 takes out the corresponding electronic data from the stored and stored according to the specifying result, and transfers it to the difference extracting unit 6.

  For image data obtained from a single educational material 20, 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 2 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 1 with the image data obtained by the image reading unit 2 and corrected for image distortion by the distortion correction unit 5. The difference is extracted. 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.

  After the difference extraction unit 6 extracts the difference, the name of the answerer of the educational teaching material read by the image reading unit 2 is then read by the answerer specifying processing unit 7 through character recognition processing for the difference. Identify information. As a result, it is possible to specify the class, attendance number, name, etc. of the person who entered the answer in one educational material 20 for education.

  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. 10 is an explanatory diagram illustrating an example of the interruption correction process.
In the interruption correction process, as shown in FIG. 10A, 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 “◯” 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. 10B 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. 11 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 discontinuity correction processing, as shown in FIG. 11A, binarization processing is performed on image data after 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. 11B 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 interruption correction processing by the interruption correction unit 9 as described above, the figure shape recognition unit 10 performs shape recognition on the entry contents of the correctness determination, that is, pattern matching with the figure shape of “◯” or “×”, It is recognized whether the content of the correct / incorrect determination entry is “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.

  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. 12 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, and 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, after the entry position recognizing unit 11 recognizes the correct / incorrect determination entry position, the scoring totaling unit 13 performs scoring for correct / incorrect determination. At this time, the scoring and summarizing unit 13 determines the scoring and summarizing results by recognizing the contents of the correct / incorrect determination by the graphic shape recognizing unit 10, the recognition result of the correct / incorrect determination by the entry position recognizing unit 11, and This is based on the answer-scoring correspondence information stored and accumulated.

However, although entry of correct / incorrect determination is generally performed corresponding to each answer column 21 on the educational material 20, it is handwritten by a teacher or the like, and therefore the entry position in each answer column 21 is not necessarily uniquely determined. I don't mean.
On the other hand, it is necessary to clarify the correspondence between each answer column 21 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 contents of correct / incorrect determination (correct or incorrect) and the score for each of the answer columns 21 after clarifying the result of correct / incorrect determination corresponding to each answer column 21. Because.

  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 “◯” or “x” and the area to be the answer column 21 on the educational material 20 and calculates the area (the area relative to the circumscribed rectangle) The correct / incorrect determination graphic having the largest ratio) and the answer column 21 are associated with each other, and the correct / incorrect determination graphic is 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 score addition is not performed for the answer column 21 corresponding to this, and such scoring is performed for all the answer columns 21 on the teaching material 20 for education. In addition, what is necessary is just to specify the area | region used as the answer column 21 on the teaching material 20 for education by the answer column position area information about each answer column 21. FIG.

Here, the scoring of correct / incorrect determination by the scoring unit 13 will be described in more detail. FIG. 13 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 teaching material 20 for the correct / incorrect determination, the count number K for the correct / incorrect determination is first set to “1” (S501). 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 502), 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). Also, the count number P for the number of answer columns 21 (= 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 20 (S505). The answer field position area information about the answer field 21 is extracted. 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). When 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 21, 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 correct / incorrect 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).
Then, such a process is repeated until all the correctness determinations on the educational material 20 are completed (S502 to S515) while incrementing the value of the count number K (S516).

  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. 14 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 thus obtained (S103 in FIG. 9). 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 image data read from the educational teaching material 20 in which the correctness / incorrectness determination is entered and the electronic data about the educational teaching material 20 are displayed. Compare the data, that is, the data about the answer entry in the answer column 21 and the data on which the answer judgment is not entered, and recognize the contents of the answer judgment from the difference between them, and score the correctness judgment Aggregation 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. Will be. Moreover, since the image data read from the educational material 20 is used as a basis, for example, a scanning function realized by a copying machine, a multifunction peripheral, or a scanner device, an information storage processing function, and an image processing function possessed by a computer device such as a PC In addition, if there is an arithmetic processing function, the apparatus configuration can be realized, and a dedicated component device is not required. Furthermore, in order to compare the image data read from the educational material 20 with the electronic data held in the database unit 1, the electronic data about various educational materials 20 can be stored and accumulated in the database unit 1. Sufficient versatility for possible educational materials can be secured.

  Moreover, in the teaching material processing apparatus, teaching material processing method, and teaching material processing program in the present embodiment, the scoring information 24 of the educational teaching material 20 is extracted from the image data obtained by reading the image of the educational teaching material 20. The position information about the answer column 21 of the educational material 20 is extracted, and the respective extraction results are associated with each other, thereby obtaining answer-scoring correspondence information for specifying the score for each answer column 21. It has become. That is, by obtaining answer-scoring correspondence information from image data obtained by image reading and storing it in the database unit 1, it can be used in the subsequent scoring process. Therefore, for example, even when a plurality of questions and their answer columns 21 are arranged on the educational material 20 and the score for each is different, it is possible to use the answer score correspondence information stored in the database unit 1 as a basis. Since the correspondence relationship between each answer column 21 and the scoring system for each answer field is clarified, the scoring section 13 can reliably perform scoring for correct / incorrect determination. In addition, since the answer-scoring correspondence information is extracted and created from the image data of the educational material 20, it is not necessary to manually input the scoring information before performing scoring. These are exactly the same when the answer-scoring correspondence information is obtained not from image data obtained by image reading but from electronic data existing in the database unit 1.

  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 save labor in the scoring process. Therefore, it becomes very convenient when used in an educational institution, and a highly reliable scoring process can be performed smoothly.

  In the teaching material processing apparatus, the teaching material processing method, and the teaching material processing program according to the present embodiment, when the answer-scoring correspondence information is recognized, the placement position of each answer column 21 and the placement position of each scoring information 24 on the teaching material 20 for education are determined. The association is performed based on the distance or the position between them. That is, for example, a process of recognizing a score for each answer column 21 based on the closest score information 24 is performed. Therefore, the present invention is very suitable when applied to a general educational material 20 in which a score is specified by the score information 24 arranged in the vicinity of the answer column 21, and correctness determination and scoring required for scoring and summarizing processing are made. Can be accurately associated without increasing the processing load.

  Furthermore, in the teaching material processing apparatus, the teaching material processing method, and the teaching material processing program according to the present embodiment, the layout analysis is performed on the image data, the region corresponding to the columns is divided, and then the answer / scoring correspondence information is recognized. Is supposed to do. Therefore, since the educational material 20 can have any layout, the versatility of the educational material 20 can be sufficiently ensured. In addition, even in that case, the answer-scoring correspondence information can be surely recognized through the layout analysis, so that the reliability of the scoring process can be sufficiently ensured.

  In the teaching material processing apparatus, the teaching material processing method, and the teaching material processing program according to the present embodiment, a symbol having a predetermined shape or a symbol having a predetermined color component is recognized as a symbol for specifying the answer column 21. It has become. Therefore, the answer column 21 in the general educational material 20 can be recognized quickly and accurately, and therefore, the processing load is not increased.

  In addition, although this embodiment demonstrated the suitable Example of this invention, this invention is not limited to the content. For example, a distortion correction process and a break correction process are not necessarily essential. 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 function structural example of the answer score corresponding information recognition part of the teaching material processing apparatus which concerns on this invention. It is explanatory drawing which shows an example of the layout analysis process performed when recognizing answer score corresponding | compatible information. It is explanatory drawing which shows an example of the score information extraction process performed when recognizing answer score correspondence information. It is explanatory drawing which shows an example of the matching performed when recognizing answer score correspondence information. It is explanatory drawing which shows a specific example of the educational material for demonstrating the process result of matching. It is explanatory drawing which shows one specific example of answer score corresponding | compatible information. It is explanatory drawing which shows the processing operation example of the score totaling process 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 a flowchart which shows an example of the process sequence of scoring total of a correct / incorrect determination. It is explanatory drawing which shows one specific example of the scoring result according to a problem.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Database part, 2 ... Image reading part, 3 ... Image data analysis part, 4 ... Teaching material discrimination | determination part, 5 ... Distortion correction part, 6 ... Difference extraction part, 7 ... Answerer specific process part, 8 ... Correct / error determination extraction part , 9 ... Discontinuity correction unit, 10 ... Graphic shape recognition unit, 11 ... Entry position recognition unit, 12 ... Answer scoring correspondence information recognition unit, 13 ... Scoring totaling unit, 14 ... Totaling result output unit, 20 ... Educational teaching material, 21 ... answer field, 22 ... identification information field, 23 ... answerer information field, 31 ... database device, 32 ... file server device, 41 ... layout analysis unit, 42 ... scoring information extraction unit, 43 ... answer column information extraction unit, 44 ... answer position calculation unit, 45 ... scoring acquisition unit, 46 ... answer position / scoring correspondence unit

Claims (6)

Image data read by an image reading device from teaching materials having a plurality of answer fields and scoring information for identifying the points for each of the plurality of answer fields, or electronic data about the teaching materials An electronic device for the educational material stored in a storage means for storing electronic data including the plurality of answer fields, the scoring information, and layout information that can specify a layout of the answer field and the scoring information. Point information extracting means for extracting the point information and the position information of the point information from image data obtained by rasterizing data;
Position information extracting means for extracting position information about the answer column from image data read from the educational material or image data obtained by rasterizing electronic data about the educational material ;
The scoring information extracted by the scoring information extraction unit based on the positional information of the scoring information extracted by the scoring information extraction unit and the positional information on the answer column extracted by the positional information extraction unit; , Answer score corresponding means for associating position information about the answer column extracted by the position information extracting means,
Storage control means for storing and holding the score information associated by the answer score correspondence means and the position information about the answer field in the answer score correspondence information storage means ;
Correctness determination extraction means for extracting the content of the correctness determination based on the image data read from the educational material in which the answer is entered in the answer column and the correctness determination of the answer is entered;
Correct / incorrect information indicating either correctness / incorrectness of the answer indicated by the contents of the correct / incorrect determination extracted by the correct / incorrect determination extraction means, and correct / incorrect determination recognizing means for recognizing the correct / incorrect determination entry position,
Based on the position information about the answer column stored in the answer-scoring correspondence information storage means and the entry position of the correct / incorrect determination recognized by the correct / incorrect determination recognition means, the answer field area and the correct / incorrect determination The position information about the answer field having the largest overlap area with the entry area is associated with the entry position of the correct / incorrect determination, the scoring information corresponding to the position information about the associated answer field, and the correct / incorrect An image processing apparatus comprising: scoring and summing means for summarizing scoring of correctness / incorrectness written in the educational material based on correctness / incorrectness information corresponding to a determination entry position. The answer-scoring correspondence unit associates the scoring information with the answer field having the closest distance between the position information of each of the answer fields and the position information of the scoring information extracted by the scoring information extraction means. The image processing apparatus according to claim 1. Area dividing means for dividing the image data read from the educational material or the image data obtained by rasterizing the electronic data of the educational material stored in the storage means;
The scoring information extraction means extracts the scoring information and position information of the scoring information from each of the divided areas,
The answer-scoring correspondence means exists in the same divided area based on the position information of the score information extracted by the score information extraction means and the position information about the answer column extracted by the position information extraction means The image processing apparatus according to claim 1, wherein the extracted score information is associated with position information regarding the extracted answer column. The position information extracting means includes
Recognizing a region containing a symbol of a predetermined shape as the answer field,
The position information of the answer column is extracted by extracting coordinate information about a predetermined point of the area and information about a circumscribed rectangle of the area. Image processing device. Image data read by an image reading device from teaching materials having a plurality of answer fields and scoring information for identifying the points for each of the plurality of answer fields, or electronic data about the teaching materials An electronic device for the educational material stored in a storage means for storing electronic data including the plurality of answer fields, the scoring information, and layout information that can specify a layout of the answer field and the scoring information. A point information extracting step for extracting the point information and the position information of the point information from image data obtained by rasterizing the data;
A position information extracting step of extracting position information about the answer column from image data read from the educational material or image data obtained by rasterizing electronic data about the educational material ;
The scoring information extracted by the scoring information extraction step based on the position information of the scoring information extracted by the scoring information extraction step and the position information about the answer column extracted by the position information extraction step; , An answer score corresponding step for associating position information about the answer column extracted by the position information extraction step;
A storage step of storing and holding the scoring information associated in the answer scoring correspondence step and the position information about the answer column in the answer scoring correspondence information storage means ;
A correct / incorrect determination extracting step for extracting the correct / incorrect determination entry based on the image data read from the educational material in which the answer is entered in the answer column and the correct / incorrect determination is input for the answer;
Correct / incorrect information indicating either correct / incorrect of the answer indicated by the entry contents of the correct / incorrect determination extracted in the correct / incorrect determination extraction step, and an correct / incorrect determination recognition step for recognizing the entry position of the correct / incorrect determination;
Based on the position information about the answer column stored in the answer-scoring correspondence information storage means in the storing step and the entry position of the correct / incorrect determination recognized in the correct / incorrect determination step, the answer column area; Scoring information corresponding to the position information about the associated answer field by associating the position information about the answer field having the largest overlapping area with the entry area for the correct / incorrect determination and the entry position for the correct / incorrect determination If, on the basis of the errata information corresponding to the entry position of the right or wrong decision, an image processing method characterized by the computer and marks counting step of performing a scoring aggregate accuracy judgment of the entered in an educational material is performed . The computer of the image processing device
Image data read by an image reading device from teaching materials having a plurality of answer fields and scoring information for identifying the points for each of the plurality of answer fields, or electronic data about the teaching materials An electronic device for the educational material stored in a storage means for storing electronic data including the plurality of answer fields, the scoring information, and layout information that can specify a layout of the answer field and the scoring information. Point information extracting means for extracting the point information and the position information of the point information from image data obtained by rasterizing data;
Position information extracting means for extracting position information about the answer column from image data read from the educational material or image data obtained by rasterizing electronic data about the educational material ;
The scoring information extracted by the scoring information extraction unit based on the positional information of the scoring information extracted by the scoring information extraction unit and the positional information on the answer column extracted by the positional information extraction unit; , Answer score corresponding means for associating position information about the answer column extracted by the position information extracting means,
Storage control means for storing and holding the score information associated by the answer score correspondence means and the position information about the answer field in the answer score correspondence information storage means ;
Correctness determination extraction means for extracting the content of the correctness determination based on the image data read from the educational material in which the answer is entered in the answer column and the correctness determination of the answer is entered;
Correct / incorrect information indicating either correctness / incorrectness of the answer indicated by the contents of the correct / incorrect determination extracted by the correct / incorrect determination extraction means, and correct / incorrect determination recognizing means for recognizing the correct / incorrect determination entry position,
Based on the position information about the answer column stored in the answer-scoring correspondence information storage means and the entry position of the correct / incorrect determination recognized by the correct / incorrect determination recognition means, the answer field area and the correct / incorrect determination The position information about the answer field having the largest overlap area with the entry area is associated with the entry position of the correct / incorrect determination, the scoring information corresponding to the position information about the associated answer field, and the correct / incorrect An image processing program for functioning as a scoring means for performing scoring of correct / incorrect judgment written in the educational material based on correct / incorrect information corresponding to a determination entry position.

Images