CN105373978A - Artificial test paper judgment processing device and artificial test paper judgment processing method based on OCR - Google Patents
Artificial test paper judgment processing device and artificial test paper judgment processing method based on OCR Download PDFInfo
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Abstract
The invention provides an artificial test paper judgment processing device and an artificial test paper judgment processing method based on OCR. The processing device comprises a test question import module, a high-speed image acquisition device, a graphic processing and recognition module, an image database, a test paper image and score database retrieval module, and a historical data analysis module. The graphic processing and recognition module comprises a test paper barcode recognition module, a test paper layout analysis and positioning module, an OCR recognition module, a calibration module, and a test paper image fast compression and saving module. According to the invention, image acquisition and storage of artificial test paper judgment and assignment can be completed quickly, test paper barcode information, personal information including handwritten respondent name, class and student number, and handwritten score result in artificial test paper judgment and assignment images can be positioned and recognized quickly and accurately, and effective association with test paper and assignment images is established and saved by compression.
Description
Technical field
The invention belongs to pattern-recognition and field of artificial intelligence, particularly relate to a kind of artificial judge paper automatic acquisition device based on OCR and data statistics processing method.
Background technology
Artificial judge paper based on OCR automatically gathers and refers to by equipment such as computing machines with data statistics processing technology, utilize OCR technology (optical character identification) that the character symbols such as the paper information manually passed judgment in paper, answer person's personal information, paper evaluation result are automatically extracted and identified, and carry out the statistical study of evaluation result, build the Database Systems passing judgment on paper.It realizes one of the artificial automatic business processing passing judgment on paper and the gordian technique effectively managed.Test paper examination and operation exercise are important steps in students'learning, by the judge of teacher with read and make comments, the grasp situation of student to learning knowledge point can be found, and take corresponding measure to improve results of learning in time.The mode that the processing mode that current artificial judge paper and operation are practised also mainly takes complicate statistics to score, papery paper after judge and operation are practised needing to occupy larger parking space, and the papery paper of long term accumulation and operation reach the mode process of certain time limit later by abandoning.This processing mode has obvious deficiency, is unfavorable for carrying out effective teaching management, is summed up, and main manifestations is the following aspects:
1, add up scoring process to waste time and energy, statistics is easily made mistakes.Adopt complicate statistics mode, a large amount of papers and operation practises, and particularly the operation of multiple subject every day is practised, and scoring process needs the manpower of at substantial, is unfavorable for the efficiency of raising teaching management.In addition, complicate statistics is easy to occur mistake.
2, be difficult to carry out valid data storage and management.Papery paper after judge and operation are practised in papery mode by student or teacher's distributed and saved, and papers a large amount of for a long time and operation are unfavorable for managing, and usually can be dropped.In teaching process, usually wish the paper consulted in the past or operation, current processing mode is difficult to the demand meeting this respect, and the efficiency of searching is also very low.
3, effective data statistics and analysis cannot be realized.A large amount of papers and work data can provide effective Data support for the effect improving learning aid.Such as, by the analysis to certain student answer in the past and handling situations, personalized teaching can be provided for deficiency.Student can be easy to the weak point finding oneself, and teacher also can be not enough for student, teaches separately.Teacher also by the data in the past longitudinal (different time is intersegmental) of full class or certain colony and the analysis of horizontal (between Different Individual), can carry out and impart knowledge to students targetedly.But current disposal route is difficult to the demand meeting this respect.
In prior art, also exist and adopt computing machine automatically to carry out the form of going over examination papers, mainly comprise following several:
1, adopt scanning paper, teacher reads and appraises marking before computer.This mode is mainly for large-scale examination, and the papery that it changes teacher reads and appraises custom.Teacher must just can read and appraise on computers, operation underaction, nature.And this type systematic does not have corresponding item database to support yet at present, lack the statistics of data and the function of analysis.
2, the form of special answer sheet is adopted.This mode requires that respondent is finished one's answer to an examination paper by full-filling, is only applicable to minority topic types such as selecting, fill a vacancy.Make answer sheet and need overhead, and full-filling answering mode uses also natural not.
For above weak point, and teaching unit improves the demand of the efficiency of learning aid further, also there is not at present the automatic score that can meet artificial judge paper and operation preferably, and the computing machine automated processing system of data statistics and analysis aspect demand and device.
Summary of the invention
The object of the invention is to the deficiency overcoming above-mentioned processing mode, provide a kind of artificial judge paper efficient, with low cost automatically to gather and data statistics processing solution.Be characterized in adopting high speed scanner, can locate and identify relevant information and appraisal result in paper and operation at high speed, and the compression that can complete paper and flow diagram picture is preserved and retrieval.It can realize manually passing judgment on the auto Image Collection of paper and operation, the automatic identification of hand-written scoring and statistics, historical data analysis, paper and score data inquiry etc. fast, can meet the artificial needs passing judgment on the computer automation process of paper and operation.
Technical scheme of the present invention is:
Based on the artificial judge paper treating apparatus of OCR, it is characterized in that, comprising: examination question imports retrieval module, the historical data analysis module in module, high-speed image sampling device, graphics process and identification module, image data base, paper image and score data storehouse; Wherein graphics process and identification module, comprise paper bar-code identification module, paper printed page analysis and locating module, OCR identification module, correction module, paper image Fast Compression preserve module;
Examination question imports module, and for by the examination question in paper and operation, and test paper classifying information imports in image data base and preserves;
High-speed image sampling device, for gathering the paper and flow diagram picture of having answered, and delivers in image data base after the image data information collected is preserved resume module by the Fast Compression of paper image;
Paper bar-code identification module, for identifying the bar code information in paper, and the Fast Compression bar code information of identification being delivered to paper image preserves resume module; Paper printed page analysis and locating module, for positioning and segmentation the information in paper and flow diagram picture, segmentation obtains hand-written character image-region, and hand-written character image-region is delivered to OCR identification module does further process; OCR identification module, classifying hand-written characters image-region carries out high precision identification, and Fast Compression recognition result data being delivered to paper image preserves resume module; Correction module, by the recognition result data obtained in OCR identification module and reliability information and need all student informations of the paper of identifying processing and operation to carry out proofreading, correcting, and the Fast Compression data of process being delivered to paper image preserves resume module; The Fast Compression of paper image preserves module, be saved in image data base for the image of high-speed image sampling device collection is carried out Fast Compression, and by the bar code information of paper bar-code identification Module recognition, the data message of OCR identification module, correction module process associates, and is saved in image data base;
The retrieval module in paper image and score data storehouse, for realizing the associated data retrieval in image data base, retrieval of content comprises name, class, student number, subject and data time section, and provides statistics to corresponding data according to scores;
Historical data analysis module, for the analysis of statistical data of the longitudinal direction (different time is intersegmental) and laterally (between Different Individual) that realize the scoring event of paper and operation in the past.
Based on the artificial judge paper method of OCR, it is characterized in that: comprise the steps:
1) importing of paper and operation, by examination question in paper and operation, and test paper classifying information imports in image data base;
2) scan and gather the image data information of paper and operation, and delivering in image data base after the image data information collected is preserved resume module by the Fast Compression of paper image;
3) paper bar code information is obtained by paper bar-code identification module;
4) by paper printed page analysis and locating module, the information in paper and flow diagram picture is positioned and segmentation, be partitioned into character picture region to be identified, and hand-written character image-region is delivered to OCR identification module, carry out the high precision identification of hand-written character;
5) OCR identification module classifying hand-written characters graphics field block carries out high precision identification, and recognition result data, recognition credibility information are delivered to correction module and corrected;
6) correction module reads in all student informations needing the paper of identifying processing and operation, and the data of reading in data and the identification of OCR identification module is compared, and the Fast Compression data of process being delivered to paper image preserves resume module;
7) set up paper bar code information, the student's personal information obtained after correction module corrects and appraisal result are set up with paper and flow diagram picture respectively and are effectively associated, and together with view data, compression is saved in image data base.
The present invention is compared with existing technology, and tool has the following advantages:
1, high-speed data acquisition and storage, this device adopts high speed scanner manually to pass judgment on the image acquisition of paper and operation, can realize image data acquiring rapidly and store with compression.
2, the quick, accurately automatic of appraisal result identifies and statistics, native system adopts OCR technology to the relevant information in paper and operation, comprise that classified information (comprising subject, chapters and sections etc.), respondent's information, hand-written appraisal result etc. are carried out automatically fast, the identification of pin-point accuracy, and carry out score and add up.
3, paper score data is inquired about and statistics fast, system is by carrying out effective data correlation by the test question information in paper and score information, and build paper and score data storehouse, the fast query of paper and operation scoring event in the past can be realized, and data statistics.System can provide Data support for the teaching of personalization.
4, historical data analysis, the examination paper analysis module of system provides the longitudinal direction (different time is intersegmental) of the scoring event of paper and operation in the past and the analysis of statistical data of horizontal (between Different Individual).By data statistic analysis, provide decision-making foundation for teacher carries out effective teaching management.
In addition, the paper after judge and operation, when putting into high speed scanner, without the need to placing in order, even can be inverted and can not affect identification and statistics, avoiding loaded down with trivial details paper housekeeping.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of the artificial judge paper treating apparatus based on OCR.
Fig. 2 is the FB(flow block) of the judge paper method based on OCR.
Embodiment
The technological means realized to make the present invention, creation characteristic, reaching object and effect is easy to understand, below in conjunction with diagram and specific embodiment, setting forth the present invention further.
As shown in Figure 1, based on the artificial judge paper treating apparatus of OCR, comprise retrieval module 8, historical data analysis module 9 that examination question imports module 1, high-speed image sampling device 2, graphics process and identification module, image data base 7, paper image and score data storehouse.Graphics process and identification module comprise paper bar-code identification module 3, paper printed page analysis and locating module 4, OCR identification module 5, correction module 6, paper image Fast Compression preserve module 7.
Examination question imports module, is responsible for examination question in paper and operation, and test paper classifying information (comprising subject, chapters and sections etc.) etc. imports in image data base and preserves.
High-speed image sampling device, by controlling high speed scanner, and is transferred to high-performance computer by the paper of collection and flow diagram picture, and stores by delivering to image data base after the Fast Compression preservation resume module of paper image.
Paper bar-code identification module, for identifying the bar code information in paper, and the Fast Compression bar code information of identification being delivered to paper image preserves resume module;
Paper printed page analysis and locating module, for positioning and segmentation the information in paper and flow diagram picture, segmentation obtains hand-written character image-region, and hand-written character image-region is delivered to OCR identification module does further process;
OCR identification module, classifying hand-written characters image-region carries out high precision identification, and Fast Compression recognition result data being delivered to paper image preserves resume module;
Correction module, by the recognition result data obtained in OCR identification module and reliability information and need all student informations of the paper of identifying processing and operation to carry out proofreading, correcting, and the Fast Compression data of process being delivered to paper image preserves resume module;
The Fast Compression of paper image preserves module, be saved in image data base for the image of high-speed image sampling device collection is carried out Fast Compression, and by the bar code information of paper bar-code identification Module recognition, the data message of OCR identification module, correction module process associates, and is saved in image data base;
The retrieval module in paper image and score data storehouse, for realizing the associated data retrieval in image data base, retrieval of content comprises name, class, student number, subject and data time section, and provides statistics to corresponding data according to scores;
Historical data analysis module, for the analysis of statistical data of the longitudinal direction (different time is intersegmental) and laterally (between Different Individual) that realize the scoring event of paper and operation in the past.
Fig. 2 is the FB(flow block) of the judge paper method based on OCR.The treatment scheme of system is: the importing of paper and operation, pending paper and operation are first by network or local interface, by examination question in paper and operation, and test paper classifying information (comprising subject, chapters and sections etc.) etc. imports in paper image data base.Then, the paper of collection and operation are placed in high speed scanner by user, and trigger the image data acquiring that high speed scanner carries out paper and operation, and image is saved in PC automatically.The paper wherein collected and operation do not need to stack in order, and paper and operation upside down also can not affect identifying processing result.
First paper image procossing and identification module will carry out the identification of paper bar code information, and according to bar code detection and indentification result, tilt and rotation correction to image placement direction.Then, carry out paper printed page analysis and location, thus be partitioned into character picture region to be identified.The image-region that wherein locating segmentation goes out comprises the hand-written character image blocks such as hand-written respondent's name, class and student number information, hand-written appraisal result.OCR identification module is sent in the character picture region be partitioned into respectively, delivers to correction module and proofread after carrying out the high precision identification of hand-written character;
Correction module, first reads in all student informations needing the paper of identifying processing and operation, then according to the recognition result of OCR identification module, calculates respondent's name and student number in recognition result respectively, with the string matching degree of the student information read in.Here the matching measurement of character string adopts editing distance (EditDistance).That finally applies that following rule carries out name and student number combines correction, obtains student name and student number information:
If a () name mates completely, then get matching degree maximum student number and student number recognition result is corrected;
If b () student number mates completely, then get matching degree maximum name and Sex criminals result is corrected;
If c () name and student number are semi-match, then first get the two matching measurement and be n maximum candidate, and utilize the confidence level of identification character, from n candidate, choose identification character confidence level and maximum character string is final recognition result, and correct.
Last image procossing combines correction with identification module to the respondent's name in OCR recognition result and student number information.
Finally, personal information and the appraisal result etc. such as the paper bar code information (comprising test paper classifying information) that image procossing and identification module obtain by native system, respondent's name, class and student number, set up with paper and flow diagram picture respectively and effectively associate, and together with view data, compression is saved in image data base.
After completing above work, present system provides the retrieval in paper image and score data storehouse, historical data analysis statistical function.User can at any time by operation interface that native system provides, carry out the associated data retrieval in paper and operation image data base, retrieval of content comprises name, class, student number, subject and data time section, and can provide statistics to corresponding data according to scores.Also the longitudinal direction (different time is intersegmental) of the scoring event of paper and operation in the past and the analysis of statistical data of horizontal (between Different Individual) can be carried out.Statistical study can be added up according to subject, time period, examination question type etc.
More than show and describe ultimate principle of the present invention, principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; what describe in above-described embodiment and instructions just illustrates principle of the present invention; the present invention also has various changes and modifications without departing from the spirit and scope of the present invention, and these changes and improvements all fall in the claimed scope of the invention.
Claims (10)
1. based on the artificial judge paper treating apparatus of OCR, it is characterized in that, comprising: examination question imports retrieval module, the historical data analysis module in module, high-speed image sampling device, graphics process and identification module, image data base, paper image and score data storehouse; Wherein graphics process and identification module, comprise paper bar-code identification module, paper printed page analysis and locating module, OCR identification module, correction module, paper image Fast Compression preserve module;
Examination question imports module, and for by the examination question in paper and operation, and test paper classifying information imports in image data base and preserves;
High-speed image sampling device, for gathering the paper and flow diagram picture of having answered, and delivers in image data base after the image data information collected is preserved resume module by the Fast Compression of paper image;
Paper bar-code identification module, for identifying the bar code information in paper, and the Fast Compression bar code information of identification being delivered to paper image preserves resume module; Paper printed page analysis and locating module, for positioning and segmentation the information in paper and flow diagram picture, segmentation obtains hand-written character image-region, and hand-written character image-region is delivered to OCR identification module does further process; OCR identification module, classifying hand-written characters image-region carries out high precision identification, and Fast Compression recognition result data being delivered to paper image preserves resume module; Correction module, by the recognition result data obtained in OCR identification module and reliability information and need all student informations of the paper of identifying processing and operation to carry out proofreading, correcting, and the Fast Compression data of process being delivered to paper image preserves resume module; The Fast Compression of paper image preserves module, be saved in image data base for the image of high-speed image sampling device collection is carried out Fast Compression, and by the bar code information of paper bar-code identification Module recognition, the data message of OCR identification module, correction module process associates, and is saved in image data base;
The retrieval module in paper image and score data storehouse, for realizing the associated data retrieval in image data base, retrieval of content comprises name, class, student number, subject and data time section, and provides statistics to corresponding data according to scores;
Historical data analysis module, for the analysis of statistical data of the longitudinal direction (different time is intersegmental) and laterally (between Different Individual) that realize the scoring event of paper and operation in the past.
2. the artificial judge paper treating apparatus based on OCR according to claim 1, is characterized in that: test paper classifying information comprises subject, chapters and sections information; Bar code information in paper comprises the classification of the subject of paper and operation, chapters and sections and paper and operation.
3. the artificial judge paper treating apparatus based on OCR according to claim 1, is characterized in that: high-speed image sampling device is high speed scanner.
4. the artificial judge paper treating apparatus based on OCR according to claim 1, is characterized in that: paper bar-code identification module can detect the locality of bar code, and according to bar code detection and indentification result, tilts and rotation correction to image placement direction.
5. the artificial judge paper treating apparatus based on OCR according to claim 1, is characterized in that: the paper in paper printed page analysis and locating module and the information in flow diagram picture, comprise respondent's information, hand-written appraisal result.
6., based on the artificial judge paper method of OCR, it is characterized in that: comprise the steps:
1) importing of paper and operation, by examination question in paper and operation, and test paper classifying information imports in image data base;
2) scan and gather the image data information of paper and operation, and delivering in image data base after the image data information collected is preserved resume module by the Fast Compression of paper image;
3) paper bar code information is obtained by paper bar-code identification module;
4) by paper printed page analysis and locating module, the information in paper and flow diagram picture is positioned and segmentation, be partitioned into character picture region to be identified, and hand-written character image-region is delivered to OCR identification module, carry out the high precision identification of hand-written character;
5) OCR identification module classifying hand-written characters graphics field block carries out high precision identification, and recognition result data, recognition credibility information are delivered to correction module and corrected;
6) correction module reads in all student informations needing the paper of identifying processing and operation, and the data of reading in data and the identification of OCR identification module is compared, and the Fast Compression data of process being delivered to paper image preserves resume module;
7) set up paper bar code information, the student's personal information obtained after correction module corrects and appraisal result are set up with paper and flow diagram picture respectively and are effectively associated, and together with view data, compression is saved in image data base.
7. the artificial judge paper method based on OCR according to claim 6, it is characterized in that: in step 7) after, also comprise according to name, class, student number, subject and data time section, paper image and score data storehouse are retrieved, and obtains statistics.
8. the artificial judge paper method based on OCR according to claim 7, it is characterized in that: also comprise according to subject, time period, examination question type, the scoring event of paper and operation is in the past carried out to the statistical study of longitudinal direction (different time is intersegmental) and horizontal (between Different Individual).
9. the artificial judge paper method based on OCR according to claim 6, it is characterized in that: step 3) in also comprise, after identification paper bar code, according to bar code detection and indentification result, judge the placement direction of image, and image placement direction is tilted and rotation correction.
10. the artificial judge paper method based on OCR according to claim 6, it is characterized in that: step 4) in by paper printed page analysis and locating module, the information in paper and flow diagram picture is positioned and segmentation, the image-region that wherein locating segmentation goes out comprises the hand-written character image blocks such as respondent's name, class and student number information, hand-written appraisal result.
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