WO2013039063A1 - Dispositif de traitement de réponse, procédé de traitement de réponse, support d'enregistrement et verrouillage - Google Patents

Dispositif de traitement de réponse, procédé de traitement de réponse, support d'enregistrement et verrouillage Download PDF

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Publication number
WO2013039063A1
WO2013039063A1 PCT/JP2012/073186 JP2012073186W WO2013039063A1 WO 2013039063 A1 WO2013039063 A1 WO 2013039063A1 JP 2012073186 W JP2012073186 W JP 2012073186W WO 2013039063 A1 WO2013039063 A1 WO 2013039063A1
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information
answer
difference
statistical analysis
student
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PCT/JP2012/073186
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English (en)
Japanese (ja)
Inventor
史雄 仲矢
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国立大学法人大阪教育大学
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Publication of WO2013039063A1 publication Critical patent/WO2013039063A1/fr

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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student

Definitions

  • the present invention relates to an apparatus for processing an answer written on an answer sheet by a student.
  • an answer processing system provided with an input means and a display means, (a) a first storage for storing answer data in which an unprocessed answer of a test is converted into image data Means, (b) second storage means for storing answer data in which the answer that has been processed is converted into image data, and (c) explanatory data relating to the question being questioned in the test is stored in advance.
  • a database in response to a display instruction of a specific answer input from the input means, read out answer data corresponding to the specific answer from the first storage means and display on the display means,
  • the answer data is included in the answer Answer processing means for reading the explanation data relating to the problem from the database and adding the answer data to the answer data, and storing the answer data to which the processing data and the explanation data are added in a second storage means,
  • an answer processing system characterized by the fact (see, for example, Patent Document 1).
  • JP 2006-227317 A (first page, FIG. 1 etc.)
  • the answer processing apparatus is an answer sheet in which one or more students have entered an answer, and is an image information associated with student identification information that is identification information of each student who has entered the answer.
  • An answer sheet information storage unit for storing answer sheet information, and a difference acquisition unit for acquiring difference related information that is information related to a difference of answer sheet information of the answer reading information stored in the answer reading information storage unit;
  • the difference acquisition unit detects the identification image of the answer reading information from which the difference is acquired, and acquires the student identification information associated with the identification image, the difference identification information, and the student identification information Answer information storage unit that stores answer information storing answer information storage unit storing answer information, difference related information acquired by the difference acquisition unit, and student identification information acquired by the student identification information acquisition unit
  • An answer processing apparatus including an accumulation unit.
  • the answer written by the student and the student identification information can be easily acquired from the answer reading information and accumulated as answer information, so that the answer written by the student can be processed appropriately.
  • the answer processing apparatus includes a statistical analysis unit that performs statistical analysis on the answer information for each student using the student identification information included in the answer information stored in the answer information storage unit.
  • the answer processing apparatus includes an output unit that outputs a statistical analysis result of the statistical analysis unit.
  • the answer information further includes date information which is information indicating a date corresponding to the answer information, and the statistical analysis unit has the answer information.
  • date information is information indicating a date corresponding to the answer information
  • the statistical analysis unit has the answer information.
  • the answer processing apparatus of the present invention further includes a character recognition unit that performs character recognition processing on the difference related information acquired by the difference acquisition unit in the answer processing device, and the statistical analysis unit performs statistical analysis on the answer information.
  • the statistical analysis unit performs statistical analysis on the answer information.
  • the statistical analysis related to the characters described in the difference related information is an answer regarding the amount of characters recognized for the difference related information by the character recognition unit. It is a processing device.
  • the statistical analysis related to the characters described in the difference related information is a statistical analysis related to the diversity of characters recognized for the difference related information by the character recognition unit. This is an answer processing apparatus.
  • the answer processing apparatus of the present invention is an answer processing apparatus in which the statistical analysis related to the characters described in the difference-related information is statistical analysis related to the attribute of the described characters.
  • the answer processing apparatus of the present invention is an answer processing apparatus in which, in the answer processing apparatus, the statistical analysis relating to the character attribute is a statistical analysis relating to the character recognition result performed by the character recognition unit on the difference related information. .
  • the statistical analysis related to the character attribute is a statistics related to a recognized character size indicated by a character recognition result performed by the character recognition unit on the difference related information. It is an answer processing apparatus that is an analysis.
  • the answer processing apparatus further includes a character recognition unit that performs character recognition processing on the difference related information acquired by the difference acquisition unit in the answer processing apparatus, and relates to the characters described in the difference related information.
  • Statistical analysis is an answer processing apparatus that is statistical analysis on the accuracy of a sentence indicated by characters recognized by a character recognition unit.
  • the answer processing apparatus further includes a character recognition unit that performs character recognition processing on the difference related information acquired by the difference acquisition unit in the answer processing apparatus, and relates to the characters described in the difference related information.
  • the statistical analysis is an answer processing apparatus that is a statistical analysis regarding the number of characters per unit area of the written characters.
  • the seal of the present invention is a seal in which an identification image associated with student identification information, which is student identification information, is arranged on the surface.
  • the seal of the present invention is a seal in which a character string indicating student identification information corresponding to the identification image is arranged around the identification image in the seal.
  • the answer written by the student can be appropriately processed.
  • FIG. 5A shows an example of answer sheet information of the answer processing apparatus (FIG. 5A)
  • FIG. 5B shows an example of answer reading information (FIG. 5B).
  • the figure which shows the answer sheet information management table of the answer processing apparatus The figure which shows the answer reading information management table
  • the figure which shows the difference relevant information of the answer processing apparatus A figure showing text information acquired by the answer processing apparatus (FIG. 9A) and a figure showing a recognition management table (FIG.
  • FIG. 1 is a block diagram of an answer processing apparatus 1 according to the present embodiment.
  • the answer processing apparatus 1 includes an answer reading information storage unit 11, an answer sheet information storage unit 12, a difference acquisition unit 13, a student identification information acquisition unit 14, a character recognition unit 15, an answer information storage unit 16, an answer information storage unit 17, a statistics An analysis unit 18 and an output unit 19 are provided.
  • the answer reading information storage unit 11 stores one or more answer reading information.
  • the answer reading information is an answer sheet in which one or more students have filled in the answer, and is information obtained by reading an answer sheet in which an identification image associated with the student identification information of each student who has entered the answer is arranged. is there.
  • the answer reading information is usually information obtained by reading an answer sheet with a scanner or the like. However, the answer reading information may be information taken with a digital still camera or the like.
  • the answer reading information is, for example, image information of the reading surface of the answer sheet.
  • the answer reading information is, for example, a raster image in JPEG format, PNG format, or TIFF format. However, the answer reading information may be an image obtained by vectorizing a raster image by automatic tracing or the like.
  • the color depth of the answer reading information does not matter. Usually, in the answer, there are many cases where color information is not necessary, so a binary image such as black and white or a gray scale image may be used.
  • the answer reading information may be a color image. The color depth may be changed after reading the answer sheet. A higher resolution of the answer reading information is preferable in that the characters written by the student can be read accurately. However, since the amount of data such as the answer reading information increases, for example, a resolution of about 200 ppi to 600 ppi is used. Often.
  • the answer sheet is a sheet for filling in the answer to the question.
  • the material of the answer sheet does not matter.
  • an entry field for entering an answer, and problem identification information such as a problem number used for associating the entry field with a question are arranged.
  • the answer sheet on which the answer is written is an answer sheet in which characters indicating the answer written by the student using a writing tool or the like are arranged.
  • answers other than letters may be entered.
  • the students here are students of schools, cram schools, prep schools and the like.
  • the answer sheet may contain questions.
  • the answer sheet may include a date entry field, an answer sheet, and information for identifying a problem corresponding to the answer sheet.
  • the above arrangement is, for example, printing.
  • Student identification information is identification information of each student.
  • the student identification information includes a student name, a student ID number, a resident code, an e-mail address, and the like.
  • the identification image is information on an image associated with the identification information.
  • the identification information here is student identification information in particular.
  • the identification image is an image representing a character string by a figure. This character string may be a number or the like.
  • the identification image is, for example, a barcode.
  • a bar code represents a character by, for example, a plurality of rectangles having various thicknesses and lengths, and their arrangement and intervals.
  • the barcode may be, for example, a one-dimensional barcode in which a plurality of lines having various thicknesses are arranged in one direction and characters are expressed by the arrangement and interval of the lines.
  • the barcode is, for example, a two-dimensional representation in which a plurality of rectangles having various thicknesses and lengths are arranged in the vertical direction and the horizontal direction, and the characters are represented by the positional relationship between the rectangles and their intervals.
  • a bar code hereinafter referred to as a two-dimensional bar code.
  • a two-dimensional barcode is also called a two-dimensional code.
  • the two-dimensional barcode is, for example, a QR code (registered trademark) or PDF417.
  • QR code registered trademark
  • PDF417 PDF417
  • the identification image associated with the student identification information is an identification image in which information read from the identification image is student identification information, or an identification image in which the read information is associated with student identification information.
  • Reading a character string or the like from the identification image is, for example, a so-called bar code reader.
  • a barcode reader is a device that reads an identification image and converts it into a corresponding character string.
  • QR code or the like which is one of two-dimensional barcodes
  • the identification image may be arranged in any way on the answer sheet, for example, it may be printed from the beginning on the answer sheet, or a sticker with a two-dimensional barcode placed on the surface is pasted on the answer sheet It may be done.
  • each answer sheet has a student who fills in the answer. It is preferable to affix a sticker on which a two-dimensional barcode associated with the student identification information is placed.
  • FIG. 2 is a diagram showing an example of a sticker on which an identification image associated with student identification information is arranged.
  • the identification image is arranged on the surface of the seal 20.
  • the identification image may be an identification image other than a two-dimensional barcode, such as an ID.
  • an adhesive or a pressure-sensitive adhesive is provided on the back surface of the seal 20.
  • a character string 22 here is a concept including numbers and the like.
  • the student identification information arranged in the vicinity of the identification image only needs to be associated with the student identification information associated with the identification image, and does not necessarily have to be the same.
  • the student identification information arranged in the vicinity of the identification image may be the student's name
  • the student identification information associated with the identification image may be the student's student ID number.
  • the position of the answer sheet on which the sticker 20 is pasted or the range where the sticker 20 can be pasted may be specified on the answer sheet using a frame line or the like.
  • the answer reading information may be associated with information related to the date of the answer sheet on which the student wrote the answer.
  • the information on the date of the answer sheet on which the student has written the answer may be information on the date on which the student has written the answer, or information on the date on which the answer sheet was read.
  • the information related to the date is usually date information.
  • the information regarding the date may include time information.
  • the answer reading information storage unit 11 is preferably a nonvolatile recording medium, but can also be realized by a volatile recording medium. The same applies to other storage units and the like.
  • the answer sheet information storage unit 12 stores answer sheet information, which is information indicating a state before an answer is written, of an answer sheet from which answer reading information is read.
  • the answer sheet information is, for example, image information of an answer sheet obtained by reading, using a scanner or the like, an answer sheet before a student enters an answer, or an unfilled answer sheet that is the same as an answer sheet on which a student has entered an answer. is there. Further, it may be data for creating an answer sheet, for example, data for a word processor or DTP software, or information obtained by rasterizing these data.
  • the answer sheet information may be information that can acquire a raster image of the answer sheet, for example. Note that the resolution of the answer sheet information and the resolution of the answer reading information are preferably the same.
  • the answer reading information and answer sheet information corresponding to one answer sheet are managed in association with each other, for example.
  • each answer reading information is managed in association with the identification information of the corresponding answer sheet information.
  • the identification information obtained by reading the answer sheet identification information is included in both the answer reading information and the answer sheet information. You may make it match
  • the identification image associated with the identification information of the answer sheet is arranged on the answer sheet, and the identification information obtained by reading the identification image is the answer reading information and the answer sheet. You may make it match
  • the identification image is, for example, a barcode.
  • the difference acquisition unit 13 acquires difference-related information that is information related to a difference between the answer reading information stored in the answer reading information storage unit 11 and the answer sheet information stored in the answer sheet information storage unit 12.
  • the difference here is, for example, difference image information.
  • the difference between the answer reading information and the answer sheet information is a concept including the difference of the answer sheet information with respect to the answer reading information.
  • the difference-related information may be the difference information itself, information obtained by performing processing specified in advance on the difference, for example, information obtained by binarizing the difference information, so-called contour correction, or the like It may be information that has been performed.
  • the difference-related information is, for example, image information indicating a difference between answer reading information and answer sheet information, or image information obtained by performing a predesignated process on the image information.
  • the difference acquisition unit 13 reads, for example, one or more answer reading information that is the acquisition target of difference related information and answer sheet information corresponding to each answer reading information, and for each answer reading information, a corresponding answer, respectively.
  • the difference related information is acquired by acquiring the difference with respect to the sheet information. Or processing etc. are performed to the acquired difference and difference related information is acquired.
  • the answer sheet information is a vector image or the like
  • the difference is obtained by appropriately rasterizing.
  • the difference acquisition unit 13 acquires difference-related information by deleting a pixel when the pixel values of the pixels of the answer reading information that overlap with the answer sheet information coincide with each other. Alternatively, when the pixel values match, the color value of the pixel may be changed to a color value such as white that is designated in advance.
  • the pixel may be invisible.
  • the difference related information indicating the difference image can be acquired.
  • a channel for designating the transparency of each pixel may be provided in the difference-related information.
  • a minimum rectangle including a portion where a difference exists may be detected, and a portion other than the rectangle may be deleted.
  • the pixels overlapping the answer sheet information are, for example, pixels having the same coordinates.
  • the channel for designating the transparency of the pixel is a so-called alpha channel. *
  • the student identification information acquisition unit 14 detects the identification image of the answer reading information from which the difference acquisition unit 13 has acquired the difference, and acquires the student identification information associated with the identification image.
  • the student identification information acquisition unit 14 detects an image of an identification image in the answer reading information and uses the detected identification image by a device that reads identification information associated with the identification image such as a so-called barcode reader. For example, student identification information that is identification information corresponding to an identification image is acquired by processing with an algorithm similar to the algorithm. As a result, the student identification information acquisition unit 14 has acquired the student identification information.
  • a pre-designated dot pattern or contour line provided at a corner or the like of the identification image is searched and detected from the answer reading information.
  • the identification image is arranged in a region surrounded by a corner or the like.
  • the place where the identification image is arranged is determined in advance by coordinates or the like, the image of the predetermined place of the answer reading information is read as the image of the identification image, or this place is the same as above.
  • the identification image is searched for.
  • the process etc. which detect the position of an identification image within an image are well-known as a barcode reader technique etc., detailed description is abbreviate
  • processing for obtaining corresponding identification information from an identification image such as a two-dimensional barcode is well known as a technology of an apparatus for reading an identification image such as a barcode reader, detailed description thereof is omitted here.
  • the character recognition unit 15 performs character recognition processing on the difference related information acquired by the difference acquisition unit 13.
  • the character recognition processing is, for example, processing by OCR (Optical character recognition: Optical Character Recognition).
  • OCR Optical character recognition: Optical Character Recognition
  • text information composed of characters recognized for difference-related information is acquired.
  • This text information may include information on a format such as a character size. Since the OCR technique is a known technique, a detailed description thereof will be omitted, but an example of the OCR process will be briefly described below.
  • the character recognition unit 15 performs binarization processing or the like on the difference related information to detect a boundary between character pixels, or detects a color density change point of a portion other than the character and the character. Or the boundary of a pixel is detected. Then, the character recognition unit 15 recognizes each character written by the student as one continuous chunk, and obtains a rectangular area that individually surrounds the chunk of characters. Thereby, the character recognition part 15 detects the image which contains each character contained in difference relevant information separately. Then, the character recognition unit 15 performs, for example, vectorization on the characters included in each obtained rectangular area, and acquires values indicating character features such as intersection position information and end point position information.
  • Similarity between the characters in the dictionary and the characters in each rectangular area such as by comparing the values with values that indicate similar features stored in association with multiple characters in a dictionary prepared in advance Get a degree score. And the character recognition part 15 acquires the character with the best score from the dictionary as the recognized character. Note that the process until individual characters included in the difference-related information are individually detected may be considered as a character recognition process.
  • the result of the character recognition process acquired by the character recognition unit 15 may be, for example, text information composed of characters recognized for the difference related information as described above, or is a character in the difference related image. It may be the number of images determined to be. The number of images determined to be characters is, for example, the number of rectangular areas described above.
  • the result of the character recognition process may be a score representing the degree of similarity calculated at the time of character recognition as described above. For example, the result of the character recognition process is a score indicating the degree of similarity or the like of the character included in the dictionary for character recognition processing determined to have the highest degree of similarity with respect to each character image to be character-recognized. There may be.
  • the difference-related information to be subjected to character recognition processing by the character recognition unit 15 may be difference-related information before being accumulated in the answer information storage unit 16 described later as part of the answer information, or the answer information storage unit 16 described later.
  • the character recognition unit 15 may perform character recognition processing on the difference related information immediately after the difference acquisition unit 13 acquires one difference related information, or the answer stored in the answer information storage unit 16. Character recognition processing may be sequentially performed on the difference related information included in the information.
  • the answer information storage unit 16 stores answer information having difference-related information and student identification information.
  • the difference related information and student identification information included in one answer information are, for example, difference related information and student identification information acquired by the difference acquisition unit 13 and the student identification information acquisition unit 14 for one answer reading information, respectively.
  • the answer information may further include text information acquired as a result of the character recognition unit 15 performing a character recognition process on the difference related information included in the answer information.
  • the answer information may further include information indicating a date corresponding to the answer information (hereinafter, date information).
  • the date information corresponding to the answer information may be the date information associated with the answer reading information as described above, or the date information when the answer information is stored in the answer information storage unit 16. May be.
  • the storage is a concept including temporary storage.
  • the answer information accumulating unit 17 accumulates answer information including the difference related information acquired by the difference acquiring unit 13 and the student identification information acquired by the student identification information acquiring unit 14 in the answer information storage unit 16.
  • One answer information accumulated by the answer information accumulating unit 17 is answer information having difference-related information and student identification information acquired for one answer reading information.
  • the answer information storage unit 17 stores answer information further including text information acquired as a result of the character recognition processing performed by the character recognition unit 15 on the difference related information included in the answer information in the answer information storage unit 16. May be.
  • the answer information storage unit 17 may store answer information further including date information indicating a date corresponding to the answer information as described above in the answer information storage unit 16.
  • the statistical analysis unit 18 performs statistical analysis on the answer information for each student, for example, using the student identification information included in the answer information stored in the answer information storage unit 16.
  • Performing statistical analysis for each student is, for example, performing statistical analysis for each student identification information.
  • performing statistical analysis for each student is, for example, performing statistical analysis using answer information having the same student identification information.
  • the statistical analysis unit 18 may perform statistical analysis on the answer information for each predetermined period using the date information included in the answer information. For example, the statistical analysis unit 18 detects answer information having date information indicating a date included in the period from the answer information stored in the answer information storage unit 16 for each predetermined period. Statistical analysis is performed using answer information for each period. In addition, you may make it the statistical analysis part 18 perform the answer analysis for every student mentioned above for every period. It should be noted that the above-specified period is, for example, one year.
  • the statistical analysis described here may be any statistical analysis, and what kind of statistical analysis is performed is set according to, for example, the purpose and application of the statistical analysis.
  • the information that satisfies the pre-specified conditions among the information to be statistically analyzed is aggregated for each condition, or the ratio of the aggregated results to the entire information to be statistically analyzed, etc. Is to get.
  • the average value, variance, standard deviation, maximum value, minimum value, median value, etc. of the value May be obtained.
  • the statistical analysis may be multivariate analysis such as cluster analysis.
  • the value of information used for statistical analysis, the number of information, the result of statistical analysis, and the like may be normalized as appropriate. This also applies to the following.
  • the statistical analysis unit 18 performs statistical analysis on characters described in the difference related information included in the answer information, for example, as statistical analysis on the answer information.
  • the statistical analysis unit 18 performs statistical analysis on characters using information indicating the result of the character recognition processing performed by the character recognition unit 15 on the difference related information included in the answer information.
  • the result of the character recognition processing described here may be text information composed of characters recognized for each difference-related information as described above, or is determined to be one character in the difference-related image. It may be the number of images that have been recognized, the number of images that have been character-recognized, the number of images that have not been character-recognized, or the like.
  • each difference-related information may be a score representing similarity or the like for characters included in a dictionary or the like obtained in character recognition processing for each image determined to be a character.
  • the statistical analysis regarding the characters described in the difference related information performed by the statistical analysis unit 18 is, for example, a statistical analysis regarding the amount of characters recognized for the difference related information in the character recognition processing by the character recognition unit 15.
  • the amount of characters described here is, for example, the number of characters.
  • the amount of characters may be considered as the number of words included in the text information obtained as a result of the character recognition process. Words included in the text information can be detected, for example, by performing morphological analysis. Since morphological analysis is a known technique, detailed description thereof is omitted here.
  • the statistical analysis related to the amount of characters includes, for example, totaling characters that satisfy (or do not satisfy) a predetermined condition, and calculating a ratio of the total number to the total.
  • the condition designated in advance is, for example, a condition for designating a character type. Examples of character types include kanji, hiragana, and alphabet.
  • the predesignated condition may be a condition of all characters recognized in the character recognition process.
  • the average of the total number of characters that satisfy (or do not satisfy) a predetermined condition included in the plurality of answer reading information may be used.
  • the statistical analysis unit 18 calculates the total number of characters of all characters included in the text information obtained by the character recognition processing performed for each of the plurality of difference related information corresponding to one user. Do it for each. And the statistical analysis part 18 acquires the average value of the total result as a statistical analysis result.
  • the statistical analysis on the characters described in the difference related information performed by the statistical analysis unit 18 refers to the characters recognized by the character recognition unit 15 about the difference related information (specifically, the text information obtained as the character recognition result).
  • Character diversity may be considered as word diversity composed of characters.
  • the diversity is, for example, the number of unique characters or words among characters or words recognized by character recognition. For example, it is the total number obtained by counting characters and words by excluding duplicates (for example, duplicates are counted only once). Or it is the number of the unique characters or words whose character type is the character type designated beforehand among the characters or words recognized by character recognition. Examples of character types include kanji and hiragana.
  • the word diversity may be information indicating the number or ratio of words used in a specific group.
  • the specific group is, for example, a group of words classified by the vocabulary difficulty level.
  • the process of acquiring what difficulty level vocabulary is included in the text information or the like can be realized by using a technique such as the following non-patent document.
  • Non-patent literature Yoshiko Kawamura, "Analysis of Japanese textbooks using vocabulary checker", [online], [searched September 8, 1999], Internet ⁇ URL: http://language.tiu.ac. jp / castel99.pdf>).
  • the statistical analysis regarding the characters described in the difference-related information performed by the statistical analysis unit 18 is, for example, a statistical analysis regarding the attributes of the characters described. Character attributes include character size and ease of character recognition.
  • the statistical analysis regarding the character attributes performed by the statistical analysis unit 18 is a statistical analysis regarding the result of character recognition performed by the character recognition unit 15 on the difference related information.
  • Statistical analysis related to the result of character recognition is, for example, a score indicating the degree of similarity between each character recognized in the character recognition process and an image including each character in the difference-related information that is a recognition target of these characters. It is also possible to acquire an average value, variance, etc. for one or more difference related information. Since a character with a high score is considered to be a character that can be easily recognized by character recognition, for example, a beautiful character, such a statistical analysis result indicates the cleanliness of the character. Note that obtaining the ratio of the number of characters whose score is equal to or less than a threshold value prepared in advance and the number of all recognized characters may be considered as a statistical analysis regarding the character recognition result.
  • the statistical analysis regarding the character attributes performed by the statistical analysis unit 18 is a statistical analysis regarding the size of the recognized character indicated by the character recognition result performed by the character recognition unit 15 on the difference related information.
  • the recognized character size may be, for example, the character size recognized in the character recognition process.
  • the character size is, for example, the number of character points.
  • the character size may be the vertical or horizontal length of a rectangular area set for an image including one character.
  • the statistical analysis unit 18 acquires a value obtained by counting the number of recognized characters by size, a ratio of the total value to the total number of characters, and the like as a statistical analysis result.
  • the statistical analysis unit 18 may acquire the character size variance or the like as a statistical analysis result.
  • character size variation may be determined using character size variance. For example, in general, it can be determined that a character with less variation in character size is a beautiful character.
  • the statistical analysis regarding the characters described in the difference-related information performed by the statistical analysis unit 18 is, for example, a statistical analysis regarding the accuracy of the sentence indicated by the characters recognized by the character recognition unit 15.
  • the character recognized by the character recognition unit 15 here is, for example, a character included in text information output as a character recognition result.
  • Statistical analysis on sentence accuracy is, for example, typographical error in a sentence that is output as a character recognition result, an error in kanji, a combination of particles, use of a word that is not in the dictionary, a homonym error, an error in sending, This is a statistical analysis of the number of occurrences of items such as punctuation errors and idiomatic expressions.
  • the text output as the character recognition result is a text composed of specific characters determined from the character image of the difference related information.
  • these statistical analyzes may be statistical analysis for each item or statistical analysis in which a plurality of items are collected.
  • the process for detecting the above-described item location from the text is a well-known technique possessed by document proofing support software, a word processor, and the like, and thus detailed description thereof is omitted here.
  • an example is disclosed in the following non-patent documents. (Non-patent literature: "Reduced burden on proofreaders through detailed checks
  • the statistical analysis of the sentence accuracy may be any statistical analysis that can determine the situation and tendency of the sentence accuracy.
  • the statistical analysis of the sentence inaccuracy is also accurate. It can be considered as a form of statistical analysis of the degree.
  • the statistical analysis regarding the characters described in the difference related information performed by the statistical analysis unit 18 is a statistical analysis regarding the number of characters per unit area of the described characters.
  • the number of characters per unit area is, for example, the ratio of the number of characters recognized in the difference related information to the area of one difference related information (for example, the read area).
  • the number of recognized characters may be the number of characters recognized by the character recognition unit 15 or the number of rectangular areas including one character detected in the difference-related information in the character recognition process by the character recognition unit 15. There may be.
  • the number of characters here may be the number of characters having a specific attribute as described above.
  • the number of characters per unit area is, for example, information indicating the degree to which characters are entered on the answer sheet.
  • the output unit 19 outputs the statistical analysis result of the statistical analysis unit 18.
  • the output described here means display on a display, projection using a projector, printing on a printer, transmission to an external device, storage on a recording medium, processing result to other processing devices or other programs, etc. It is a concept that includes delivery.
  • the output unit 19 may output the statistical analysis result using a graph or the like.
  • the output unit 19 may or may not include an output device such as a display.
  • the output unit 19 can be realized by driver software for an output device or driver software for an output device and an output device.
  • Step S ⁇ b> 101 The difference acquisition unit 13 determines whether or not the answer reading information for which the process of acquiring the difference related information is unprocessed is accumulated in the answer reading information storage unit 11. If so, the process proceeds to step S102. If not, the process proceeds to step S111. For example, for the answer reading information from which the difference acquisition unit 13 has acquired the difference related information, a flag indicating that the answer has been processed is given, and the presence or absence of the unprocessed answer reading information is determined by the presence or absence of this flag. be able to. Alternatively, the processed answer reading information may be deleted.
  • Step S102 The difference acquisition unit 13 substitutes 1 for the counter m.
  • Step S103 The difference acquisition unit 13 determines whether there is m-th answer reading information in the answer reading information whose difference related information has not been acquired yet. If there is, the process proceeds to step S104, and if not, the process proceeds to step S111.
  • Step S104 The difference acquisition unit 13 acquires answer sheet information corresponding to the mth answer reading information from the answer sheet information storage unit 12. For example, answer sheet information associated with the same answer sheet identification information as the answer sheet identification information associated with the mth answer reading information is acquired.
  • the difference acquisition unit 13 acquires difference related information that is a difference of the mth answer reading information with respect to the answer sheet information.
  • the difference acquisition unit 13 may acquire the difference-related information obtained by performing processing such as sharpness processing on the difference. Further, when obtaining the difference related information, the vicinity of the region where the identification image information is arranged may be excluded in advance from the target region from which the difference is obtained. Note that a flag indicating that the process of acquiring the difference related information has been processed is added to the mth answer reading information.
  • Step S106 The character recognition unit 14 performs a character recognition process on the difference-related information acquired in Step S105. And the character recognition part 14 acquires the text information comprised by the character string specified by character recognition as information which shows a character recognition result, for example. Here, for example, information indicating a score for each character when the character is recognized is acquired. It is assumed that the text information includes character size information and the like.
  • Step S107 The student identification information acquisition unit 14 detects an identification image from the mth answer reading information.
  • Step S108 The student identification information acquisition unit 14 reads the identification image information detected in Step S107, and acquires the student identification information.
  • the answer information storage unit 17 stores the answer information in the answer information storage unit 16.
  • the answer information is the difference related information acquired in step S105, the student identification information acquired in step S108, the character recognition result acquired in step S106, and date information associated with the mth answer reading information. Information having date information.
  • the character recognition result acquired in step S106 here is text information and a score for each character.
  • Step S110 The difference acquisition unit 13 increments the value of the counter m by 1. Then, the process returns to step S103.
  • Step S111 The statistical analysis unit 18 determines whether or not to perform statistical analysis. For example, when an instruction to perform statistical analysis is received by a user or the like via a reception unit (not shown), the statistical analysis unit 18 determines that statistical analysis is to be performed. to decide. When performing statistical analysis, it progresses to step S112, and when not receiving, it returns to step S101.
  • Step S112 The statistical analysis unit 18 determines whether information specifying one or more periods to be analyzed has been received from the user via a reception unit (not shown) or the like. The period here is, for example, a year or a fiscal year. If accepted, the process proceeds to step S113. If not accepted, the process returns to step S112.
  • Step S113 The statistical analysis unit 18 substitutes 1 for the counter n.
  • Step S114 The statistical analysis unit 18 determines whether or not the answer information stored in the answer information storage unit 16 includes the nth student identification information. If there is, the process proceeds to step S115, and if not, the process proceeds to step S120.
  • Step S115 The statistical analysis unit 18 substitutes 1 for the counter k.
  • Step S116 The statistical analysis unit 18 determines whether or not the kth period is specified in the period specified in Step S112. If yes, the process proceeds to step S117. If not, the process proceeds to step S119.
  • Step S117 The statistical analysis unit 18 performs statistical processing. Details of this processing will be described later.
  • Step S118 The statistical analysis unit 18 increments the value of the counter k by 1. Then, the process returns to step S116.
  • Step S119 The statistical analysis unit 18 increments the value of the counter n by 1. Then, the process returns to step S114.
  • Step S120 The output unit 19 outputs the result of the statistical processing acquired by the statistical analysis unit 18. Then, the process ends.
  • the statistical analysis unit 18 may accept student identification information to be subjected to statistical analysis before and after step S112. Then, the statistical analysis unit 18 may perform the process of step S114 on the received student identification information.
  • Step S201 The statistical analysis unit 18 increments the value of the counter p by 1.
  • Step S202 The statistical analysis unit 18 determines whether there is p-th answer information including n-th student identification information and date information indicating a date included in the k-th period. If there is, the process proceeds to step S203, and if not, the process proceeds to step S210.
  • the statistical analysis unit 18 acquires information indicating the amount of characters using information indicating the character recognition processing result included in the p-th answer information. For example, the statistical analysis unit 18 acquires the number of recognized characters.
  • the acquired information is stored, for example, in a storage medium (not shown) in association with the p-th answer information.
  • the information indicating the character recognition processing result is, for example, text information.
  • the statistical analysis unit 18 uses the information indicating the character recognition processing result included in the p-th answer information to acquire information indicating character diversity. For example, the statistical analysis unit 18 acquires the number of unique words included in the character recognition processing result. The number of unique words is the number of words when duplicate words are counted as one word.
  • the acquired information is stored, for example, in a storage medium (not shown) in association with the p-th answer information.
  • Step S205 The statistical analysis unit 18 acquires information related to the result of the character recognition process included in the p-th answer information. For example, the statistical analysis unit 18 uses the score of each character when character recognition is performed to obtain the average value of the score of the character recognized.
  • the acquired information is stored, for example, in a storage medium (not shown) in association with the p-th answer information.
  • the statistical analysis unit 18 uses the information indicating the character recognition processing result included in the p-th answer information to obtain a value related to the character size. For example, the statistical analysis unit 18 acquires the average value of the character sizes by using the character size values of a plurality of characters included in the character recognition processing result. The acquired information is stored, for example, in a storage medium (not shown) in association with the p-th answer information.
  • the statistical analysis unit 18 uses the information indicating the character recognition processing result included in the p-th answer information to obtain a value related to the accuracy of the character. For example, the statistical analysis unit 18 acquires the number of typographical errors and the like using a plurality of characters included in the character recognition processing result. The acquired information is stored, for example, in a storage medium (not shown) in association with the p-th answer information.
  • the statistical analysis unit 18 acquires the number of characters per unit area using information indicating the character recognition processing result included in the p-th answer information. For example, the number of characters indicated by the character recognition processing result is divided by the size of answer reading information corresponding to the p-th answer information and the size of difference-related information included in the p-th answer information to obtain the number of characters per unit area. To do.
  • the acquired information is stored, for example, in a storage medium (not shown) in association with the p-th answer information. Note that the size of the answer reading information is, for example, an area.
  • Step S209 The statistical analysis unit 18 increments the value of the counter p by 1. Then, the process returns to step S202.
  • Step S210 The statistical analysis unit 18 uses the information acquired in steps S203 to S208 for p pieces of answer information, and acquires an average value for each value acquired in each step as a statistical analysis result. Note that the statistical analysis unit 18 may acquire values related to other statistical processing, such as variance and standard deviation, instead of acquiring the average value.
  • Step S211 The statistical analysis unit 18 stores the statistical analysis result acquired in Step S210 in a storage medium or the like (not shown) in association with the nth student identification information and the information indicating the kth period. Then, the process returns to the upper process.
  • each student at a school is provided with a sticker 20 with an identification image 21 associated with the student identification information of each student, as shown in FIG. 2, and each student takes a test.
  • this sticker is affixed to a predetermined area of the answer sheet.
  • the student identification information is assumed to be a student name as an example.
  • the identification image 21 is assumed to be a QR code, which is one of two-dimensional barcodes, as an example here.
  • FIG. 2 it is assumed that characters indicating the student identification information 22 are written on the seal 20 in the vicinity of the lower side of the identification image 21.
  • the answer sheet used for the test and the answer sheet on which the student wrote the answer in the test are collected. Then, it is assumed that these answer sheets are converted into image information by a teacher or the like using a scanner or the like (not shown) and accumulated in the answer sheet information storage unit 12 and the answer reading information storage unit 11.
  • answer reading information when answer reading information is accumulated, information on the date on which the test was performed is associated and accumulated.
  • answer reading information is stored, both answer sheet information and answer reading information obtained for an answer sheet used in one test are input by a teacher or the like via a reception unit (not shown). It is assumed that the identification information of the answer sheets is stored in association with each other.
  • the answer sheet identification information is hereinafter referred to as answer sheet identification information.
  • FIG. 5 is a diagram (FIG. 5A) showing answer sheet information 51 read by a scanner or the like (not shown) on the entry surface of the answer sheet used in the above-described test that the student receives, and this answer sheet.
  • 5 is a diagram (FIG. 5B) showing an example of answer reading information 52 obtained by reading the answer face of the answer sheet in which each student has written the answer with the scanner or the like (not shown).
  • the answer sheet corresponding to the answer sheet information 51 in FIG. 5A is an answer sheet in which no answer is entered. This answer sheet may be considered as a sample or original of the answer sheet.
  • the student's seal 20 on which the answer is written is placed in a frame 501 which is a predesignated area by the student. It shall be affixed.
  • FIG. 6 is an answer sheet information management table for managing answer sheet information stored in the answer sheet information storage unit 12.
  • the answer sheet information management table has items of “answer sheet information” and “answer sheet ID”.
  • “Answer sheet information” indicates the file name of the answer sheet information.
  • “Answer sheet ID” is answer sheet identification information associated with the answer sheet information. Assume that the “answer sheet ID” associated with the answer sheet information shown in FIG. 5A is “K2011-101”. Note that the “answer sheet information” and the “answer sheet ID” may be set as one item by using the file name of the answer sheet information as the answer sheet identification information.
  • FIG. 7 is a diagram showing an answer reading information management table for managing answer reading information stored in the answer reading information storage unit 11.
  • the answer reading information management table has items of “answer reading information”, “answer sheet ID”, “date”, and “processed”.
  • the “answer reading information” indicates the file name of the answer reading information.
  • the “answer sheet ID” is answer sheet identification information associated with the answer reading information, and corresponds to the “answer sheet ID” in FIG.
  • “Date” is the date on which the test corresponding to the answer reading information was performed.
  • “Processed” is flag information indicating whether or not the answer reading information has been processed to acquire the difference related information. The value “0” is unprocessed and the value “1” is processed. It shows that.
  • the difference acquisition unit 13 performs a process of acquiring difference related information in the answer reading information storage unit 11. It is determined whether there is unprocessed answer reading information. Here, it is determined whether or not the answer reading information shown in FIG. 7 has a “processed” value of “0”. Here, it is assumed that there is a record whose “processed” value is “0”. However, the trigger and timing of the start of judgment are not questioned.
  • the difference acquisition unit 13 sequentially reads the unprocessed answer reading information and acquires the difference related information. For example, first, the difference acquisition unit 13 reads answer reading information whose file name is “01000125.tif” from the first record (row) of the answer reading information management table shown in FIG. That is, the difference acquisition unit 13 reads the answer reading information shown in FIG. Further, the difference acquisition unit 13 reads “K2011-101” which is the value of the answer sheet identification information “answer sheet ID” corresponding to the answer reading information. Then, the difference acquisition unit 13 answers the file name “100545.tif” which is answer sheet information in which “answer sheet ID” is associated with “K2011-101” from the answer sheet information management table shown in FIG. Get paper information. That is, the difference acquisition unit 13 reads the answer sheet information shown in FIG.
  • the difference acquisition unit 13 acquires a difference image with respect to the answer sheet information with the file name “100545.tif” of the answer reading information with the file name “01000125.tif” read out above. That is, the difference acquisition unit 13 acquires an image of the difference between the answer reading information shown in FIG. 5B and the answer sheet information shown in FIG. For example, the difference acquisition unit 13 deletes pixels having the same color information (or gradation information) from among the pixels at the overlapping coordinates. However, here, it may be considered that there is a difference in color information within a range specified in advance. Further, the difference acquisition unit 13 may change the pixel to a pixel of a color designated in advance (for example, white) instead of deleting the pixel.
  • the difference acquisition unit 13 stores the coordinates indicating the region in the frame 501 for applying the seal 20 as described above in advance, so that the difference acquisition unit 13 The image in the frame 501 is deleted from the difference image so as not to include the area related to the target for obtaining the image. Then, the difference acquisition unit 13 appropriately performs sharpness processing, level correction processing, and the like on the difference image to obtain difference-related information. Thereby, the difference related information which is an image showing only the answer written by the student is obtained.
  • the difference acquisition unit 13 may acquire the difference image as it is as the difference related information. Further, the difference acquisition unit 13 acquires “2011/5/25”, which is date information associated with the answer reading information “01000125.tif”, as date information. Further, the difference acquisition unit 13 changes the value of “acquired” of the record including the answer reading information “01000125.tif” that acquired the difference related information to “1” in the answer reading information management table.
  • FIG. 8 is a diagram illustrating an example of the difference related information acquired by the difference acquisition unit 13.
  • a file name or the like is given to the acquired difference related information according to a rule or the like designated in advance, and is temporarily stored in a storage medium (not shown) or the like.
  • a storage medium not shown
  • the file name “500001.tif” is given.
  • the student identification information acquisition unit 14 detects the identification image 21 in the frame 501 of the answer sheet information whose file name is “100545.tif”.
  • the identification image 21 can usually be detected by detecting an image having a specific shape provided at a corner or the like of the identification image 21 by pattern matching or the like.
  • the QR code which is the identification image 21 on the seal 20 is detected.
  • the student identification information acquisition unit 14 reads the identification image 21 and acquires student identification information associated with the read identification image 21.
  • the student identification information “Yamada A male” is acquired.
  • the character recognition unit 15 performs character recognition processing on the difference related information shown in FIG. Specifically, OCR processing is performed. For example, in the difference-related information shown in FIG. 8, a block of pixels considered as one character is sequentially detected, and a rectangular area surrounding each block is set.
  • the character recognition unit 15 acquires information indicating the characteristics of the character image included in each rectangular area, the character image included in each rectangular area, and a character recognition process prepared in advance. A score indicating the similarity to each character included in a character dictionary (not shown) is acquired for each rectangular area. Then, the character recognition unit 15 acquires the character having the highest score in each rectangular area as the character recognized for the rectangular area. And the character recognition part 15 acquires the text information which has arrange
  • the file name of the text information is given by, for example, a rule designated in advance. Here, for example, it is assumed that the file name “500001.rtf” is given.
  • the recognition management table which is information obtained by associating the score obtained during the character recognition processing of the recognized character and the information on the size of the recognized character for each recognized character, is also used as the character recognition result. get.
  • the file name of the recognition management table is given by, for example, a rule designated in advance. Here, for example, it is assumed that a file name “500001.csv” is given.
  • FIG. 9 is a diagram showing text information acquired as a result of character recognition by the character recognition unit 15 (FIG. 9A), each recognized character, a score at the time of character recognition processing, and a character size. It is a figure (FIG.9 (b)) which shows the recognition management table which matches and manages this information.
  • the recognition management table includes items of “recognized character” indicating the recognized character, “score” that is the score of the recognized character, and “size” that is the size of the recognized character.
  • the recognition management table is created for each difference related information.
  • one recognition management table may be prepared for a plurality of pieces of difference related information, and identification information of the difference related information may be associated with a record corresponding to each difference related information.
  • the answer information storage unit 17 stores the answer information in the answer information storage unit 16.
  • the answer information includes difference-related information whose file name acquired by the difference acquisition unit 13 is “500001.tif”, student identification information “Yamada A male” acquired by the student identification information acquisition unit 14, and answer sheet identification information “ K2011-001 ”, the text information“ 500001.rtf ”obtained as a result of the character recognition process, the recognition management table“ 500001.csv ”obtained as a result of the character recognition process, and the difference acquisition unit 13 Date information “2011/5/25”.
  • the answer information accumulating unit 17 determines whether or not answer information whose student identification information value matches the answer sheet identification information value has already been accumulated when accumulating answer information. If it is determined that it has been done, the same student's answer information for the same test will be double-registered, so there is a possibility that a double-registration warning or some fraud may have been done This warning or the like may be output to the user or the like.
  • FIG. 10 is a diagram showing an answer information management table for managing answer information stored in the answer information storage unit 16.
  • the answer information management table is called “answer ID”, “difference related information”, “student ID”, “answer sheet ID”, “recognition text”, “recognition management table”, and “date information”. Have items.
  • the “answer ID” is identification information of answer information.
  • the “answer ID” is obtained by removing the extension from the file name of the difference related information included in the answer information. However, it does not matter according to what rule the “answer ID” is given.
  • “Difference related information” is the file name of the difference related information.
  • Student ID is student identification information.
  • “Answer sheet ID” is answer sheet identification information and corresponds to the “answer sheet ID” in FIGS. 6 and 7.
  • “Recognized text” is text information obtained by character recognition processing.
  • the “recognition management table” is a recognition management table obtained by character recognition processing.
  • “Date information” is date information acquired by the difference acquisition unit 13.
  • the answer information acquired above for the answer reading information “01000125.tif” is a record whose “difference related information” is “500001.tif”.
  • the answer processing apparatus 1 performs statistical analysis.
  • An interface screen (not shown) for accepting an instruction for designating a target period is displayed on a monitor or the like (not shown). Then, it is assumed that the user gives an instruction to the answer processing apparatus 1 to perform statistical analysis for each year in the period from 2008 to 2011 by operating this interface screen.
  • the statistical analysis unit 18 Upon receiving this instruction, the statistical analysis unit 18 first sequentially reads out the value of “student ID” from each record of the answer information management table of FIG. 10 and temporarily accumulates it in a storage medium (not shown). At this time, if the same “student ID” has already been accumulated, duplicate accumulation is not performed. In this way, a list of unique student identification information about the student who submitted the answer sheet is obtained. The accumulation here is additional writing.
  • the statistical analysis unit 18 acquires one piece of student identification information from the acquired list of student identification information.
  • the student identification information “Yamada A male” is acquired.
  • the statistical analysis unit 18 acquires information indicating one year within the period specified above, for example, “2011”.
  • the “student ID” is “Yamada A male” and the value of “date information” is changed from “2011/1/1” to “2011/12/31”. Search for one record that matches any of the date values up to.
  • a record whose “answer ID” is “500001” is detected.
  • the record here is answer information.
  • the statistical analysis unit 18 may treat the information indicating the year as year information.
  • the statistical analysis unit 18 when the statistical analysis unit 18 acquires “2011” as information indicating the year, the statistical analysis unit 18 considers the start date and the end date of the school year such as an elementary school or a junior high school, One of the records whose value matches the value of any date from “2011/4/1” to “2012/3/31” in the range indicating the 2011 fiscal year may be searched. That is, the beginning of the year may be “April 1” of the designated year, and the last of the year may be “March 31” of the year following the designated year.
  • the statistical analysis unit 18 acquires the number of characters as the amount of “recognized text” characters managed in the retrieved record. For example, here, the number of characters is counted for the recognized text “50001.rtf”. Assume that the count result is “124”, for example. The statistical analysis unit 18 accumulates this value in, for example, a storage medium (not shown) in association with the answer ID “500001”.
  • the statistical analysis unit 18 acquires a value indicating character diversity for the recognized text “50001.rtf” managed by the record searched above.
  • the number of unique words is acquired as a value indicating character diversity.
  • the statistical analysis unit 18 performs morphological analysis on the text information of the recognized text “50,0001.rtf” illustrated in FIG. 9A and divides the text information into words. Then, the statistical analysis unit 18 obtains the number of unique words by counting the divided words only once. It is assumed that the number of unique words acquired here is “53”. The statistical analysis unit 18 accumulates this value in, for example, a storage medium (not shown) in association with the answer ID “500001”.
  • the statistical analysis unit 18 uses the recognition management table “500001.csv” managed by the record searched above to acquire a value related to the result of the character recognition process.
  • the score obtained in the character recognition process is obtained, and the average value thereof is obtained.
  • the statistical analysis unit 18 adds the “score” values of all the records in the recognition management table “500001.csv” shown in FIG. 9B, and divides the added value by the total number of records. Get the average score. It is assumed that the acquired average value is “71”, for example.
  • the statistical analysis unit 18 accumulates this value in, for example, a storage medium (not shown) in association with the answer ID “500001”.
  • the statistical analysis unit 18 acquires a value related to the size of the character recognized in the character recognition process, using the recognition management table “500001.csv” managed by the record searched above.
  • the size of each character that has been character-recognized is acquired, and the average value thereof is acquired.
  • the statistical analysis unit 18 adds the “size” values of all the records in the recognition management table “500001.csv” shown in FIG. 9B, and divides the added value by the total number of records. Get the average character size. It is assumed that the acquired average value is “15.8” (points), for example.
  • the statistical analysis unit 18 accumulates this value in, for example, a storage medium (not shown) in association with the answer ID “500001”.
  • the statistical analysis unit 18 acquires a value relating to the accuracy of the character for the recognized text “50001.rtf” managed by the record searched above.
  • the number of typographical errors is acquired as a value related to the accuracy of the character. That is, if the number of typographical errors is small, it indicates that the accuracy of the sentence written by the student is high.
  • the statistical analysis unit 18 detects a typographical error by performing a process of detecting a typographical error on the text information of the recognized text “50,0001.rtf” illustrated in FIG. Then, the statistical analysis unit 18 counts the number of detected typographical errors.
  • the statistical analysis unit 18 performs normalization by dividing the counted number of typographical errors by the number of characters of the text information acquired above. It is assumed that the number of normalized typographical omissions obtained in this way is “5”. The statistical analysis unit 18 accumulates this value in, for example, a storage medium (not shown) in association with the answer ID “500001”.
  • the statistical analysis unit 18 also determines the remaining records (answer information) in which the “student ID” is “Yamada A male” and the first four characters of the “date information” match “2011”. The same processing as above is repeated.
  • FIG. 11 is a diagram showing yearly acquired information which is the information acquired by the statistical analysis unit 18 in the above-described process for the answer sheet submitted by the student whose “student ID” is “Yamada A male” in “2011”. It is.
  • This information is information accumulated in a storage medium value (not shown) by the above processing.
  • the yearly acquisition information includes items of “answer ID”, “number of characters”, “number of words”, “average score”, “average size”, “number of typographical errors”, and “number of unit characters”. is doing.
  • “Number of characters” is the number of characters included in the text information that is the character recognition result
  • “Number of words” is the number of unique words included in the text information that is the character recognition result
  • “Number of unit characters” is the number of characters per unit area in the difference-related information.
  • the statistical analysis unit 18 obtains an average value for each item shown in FIG. Specifically, the values of the same item in all records are added together, and the added value is divided by the number of records to obtain the average value of each item.
  • This average value is the average value of each item regarding the answer sheet submitted in “2011” by the student whose “student ID” is “Yamada A male”. The student whose “student ID” is “Yamada A male” may be considered as a statistical analysis result of the answer sheet submitted in “2011”.
  • the statistical analysis unit 18 accumulates the acquired average value of each item as a statistical analysis result in association with the student identification information “Yamada A male” and the value “2011” indicating the year in a storage medium (not shown). .
  • the statistical analysis unit 18 performs the same processing for each year from “2010” to “2008”, which are the remaining years.
  • FIG. 12 is a yearly analysis result management table showing the statistical analysis results of each year acquired and accumulated by the above processing. “Year” indicates the year of statistical analysis.
  • the items of “answer ID”, “number of characters”, “number of words”, “average score”, “average size”, “number of typographical errors”, and “number of unit characters” are the same names shown in FIG. This is the average value of the items.
  • the statistical analysis unit 18 performs the same processing as above for the student identification information other than “Yamada A male” in the list of student identification information acquired above, and the information obtained by the processing is shown in FIG. We will add to the annual analysis results shown in.
  • FIG. 13 shows an annual analysis result management table in which statistical analysis results for student identification information other than “Yamada A male” are added.
  • the output unit 19 displays the statistical analysis result as shown in FIG. 13 on a monitor or the like (not shown). Needless to say, the whole or part of the statistical analysis result shown in FIG. 13 may be displayed in a graph or the like.
  • the difference-related information regarding the difference between the answer reading information obtained by reading the answer sheet in which the student has entered the answer and the answer sheet information of the answer sheet before the student has entered the answer is acquired. Since the answer information having the difference related information and the student identification information read from the identification image arranged on the answer sheet is accumulated, the answer written by the student can be managed appropriately.
  • various statistical analyzes can be performed using information obtained by character recognition processing of difference-related information, and student answers can be effectively used for various purposes such as evaluation of student growth processes.
  • each process may be realized by centralized processing by a single device (system), or by distributed processing by a plurality of devices. May be.
  • the answer processing apparatus is a stand-alone
  • the answer processing apparatus may be a stand-alone apparatus or a server apparatus in a server / client system.
  • the output unit or the reception unit receives input or outputs a screen via a communication line.
  • each component such as the difference acquisition unit 13, the student identification information acquisition unit 14, the character recognition unit 15, the answer information storage unit 17, and the statistical analysis unit 18 is configured by dedicated hardware. Alternatively, it may be configured by software and realized by executing a program.
  • each component can be realized by a program execution unit such as a CPU reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.
  • the software that realizes the answer processing apparatus in each of the above embodiments is the following program.
  • this program is an answer sheet on which one or more students have written answers, and an identification image that is image information associated with student identification information that is identification information of each student who has entered the answer.
  • This is information indicating a state before answer is written in an answer reading information storage unit for storing answer reading information, which is information obtained by reading an arranged answer sheet, and an answer sheet from which answer reading information is read.
  • a computer that can access the answer sheet information storage unit in which answer sheet information is stored and the answer information storage unit, and information on the difference between the answer reading information stored in the answer reading information storage unit and the answer sheet information.
  • a difference acquisition unit that acquires certain difference related information, and a student that detects the identification image of the answer reading information from which the difference acquisition unit has acquired the difference, and acquires the student identification information associated with the identification image
  • an answer information accumulating unit for accumulating in the answer information storage unit answer information having another information acquisition unit, difference-related information acquired by the difference acquisition unit, and student identification information acquired by the student identification information acquisition unit It is a program.
  • the functions realized by the program do not include functions that can only be realized by hardware.
  • functions that can be realized only by hardware such as a modem and an interface card in an acquisition unit that acquires information, an output unit that outputs information, and the like are not included in the functions realized by the program.
  • the computer that executes this program may be singular or plural. That is, centralized processing may be performed, or distributed processing may be performed.
  • FIG. 14 is a schematic diagram showing an example of the appearance of a computer that executes the program and realizes the answer processing apparatus according to the embodiment.
  • the above-described embodiment can be realized by computer hardware and a computer program executed on the computer hardware.
  • a computer system 900 includes a computer 901 including a CD-ROM (Compact Disk Only Memory) drive 905 and an FD (Floppy (registered trademark) Disk) drive 906, a keyboard 902, a mouse 903, a monitor 904, and the like. Is provided.
  • a computer 901 including a CD-ROM (Compact Disk Only Memory) drive 905 and an FD (Floppy (registered trademark) Disk) drive 906, a keyboard 902, a mouse 903, a monitor 904, and the like. Is provided.
  • FIG. 15 is a diagram showing an internal configuration of the computer system 900.
  • a computer 901 in addition to the CD-ROM drive 905 and the FD drive 906, a computer 901 is connected to an MPU (Micro Processing Unit) 911, a ROM 912 for storing a program such as a bootup program, and the MPU 911.
  • MPU Micro Processing Unit
  • ROM Read Only Memory
  • a RAM Random Access Memory
  • 913 that temporarily stores program instructions and a temporary storage space
  • a hard disk 914 that stores application programs, system programs, and data
  • an MPU 911 and a ROM 912 are interconnected.
  • a bus 915 The computer 901 may include a network card (not shown) that provides connection to the LAN.
  • a program for causing the computer system 900 to execute the functions of the answer processing apparatus according to the above embodiment is stored in the CD-ROM 921 or the FD 922, inserted into the CD-ROM drive 905 or the FD drive 906, and stored in the hard disk 914. May be forwarded. Instead, the program may be transmitted to the computer 901 via a network (not shown) and stored in the hard disk 914. The program is loaded into the RAM 913 when executed. The program may be loaded directly from the CD-ROM 921, the FD 922, or the network.
  • the program does not necessarily include an operating system (OS) or a third party program that causes the computer 901 to execute the functions of the answer processing apparatus according to the above-described embodiment.
  • the program may include only a part of an instruction that calls an appropriate function (module) in a controlled manner and obtains a desired result. How the computer system 900 operates is well known and will not be described in detail.
  • the answer processing apparatus is suitable as an apparatus for processing an answer sheet, and is particularly useful as an apparatus for processing an answer sheet in which a student enters an answer from an answer sheet. .

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Abstract

Afin de fournir un dispositif de traitement de réponse pouvant traiter comme il convient une réponse inscrite par un étudiant, la présente invention comprend : une unité de mémorisation d'informations de lecture de réponse (11) qui mémorise des informations de lecture de réponse obtenues suite à la lecture d'une feuille de réponse sur laquelle un étudiant inscrit une réponse, cette feuille de réponse comportant une image d'identification qui est associée à des informations d'identification d'étudiants correspondant à chaque étudiant qui a inscrit une réponse ; une unité de mémorisation d'informations de feuille de réponse (12) qui mémorise des informations de feuille de réponse indiquant l'état préalable à l'inscription d'une réponse de la feuille de réponse qui est lue pour obtenir les informations de lecture de réponse ; une unité d'acquisition de différence (13) servant à acquérir des informations liées à une différence qui sont des informations liées à une différence entre les informations de lecture de réponse et les informations de feuille de réponse ; une unité d'acquisition d'informations d'identification d'étudiants (14) destinée à acquérir les informations d'identification d'étudiants associées à l'image d'identification des informations de lecture de réponse pour lesquelles la différence a été acquise ; et une unité d'accumulation d'informations de réponse (17) conçue pour accumuler, dans une unité de mémorisation d'informations de réponse (16), les informations de réponse ayant les informations liées à une différence acquises par ladite unité d'acquisition de différence (13) ainsi que les informations d'identification d'étudiants acquises par ladite unité d'acquisition d'informations d'identification d'étudiants (14).
PCT/JP2012/073186 2011-09-15 2012-09-11 Dispositif de traitement de réponse, procédé de traitement de réponse, support d'enregistrement et verrouillage WO2013039063A1 (fr)

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JP7434780B2 (ja) * 2019-09-24 2024-02-21 富士フイルムビジネスイノベーション株式会社 情報処理装置、情報処理システム、及び情報処理プログラム

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CN117894033B (zh) * 2024-03-14 2024-05-28 山东山大鸥玛软件股份有限公司 一种基于ocr识别的答卷一致性校验方法及系统

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