CN104809677A - Automatic examination paper scoring method based on statistics and analysis of knowledge point mastering condition - Google Patents
Automatic examination paper scoring method based on statistics and analysis of knowledge point mastering condition Download PDFInfo
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Abstract
The invention discloses an automatic examination paper scoring method based on statistics and analysis of a knowledge point mastering condition. The method comprises the steps of examination paper information collection, examination paper picture and subjective question scoring information uploading, unified automatic examination paper scoring, questionable item modification and examination result statistics. Through adopting the mode, the automatic examination paper scoring method based on statistics and analysis of the knowledge point mastering condition has the advantages that question answering through specific answer sheets can be realized; the question answering on ordinary examination papers can also be realized, the automatic examination paper scoring can also be realized, in addition, the score statistics can be realized on the examination result, and the knowledge point mastering condition statistics and analysis can also be realized.
Description
Technical field
The present invention relates to automatic marking papers system field, particularly relate to a kind of automatic marking method of Corpus--based Method and analysis knowledge point grasp situation.
Background technology
No matter be in school study, or entering trade-after, examination is all the meeting role that performer is important in the life of people, particularly student, from kindergarten, examination just cannot avoid, examination not only can allow the study situation of student to a stage detect, and is also the decisive indicator of entering a higher school.
Originally, people were undertaken going over examination papers and correcting by pure craft, but in recent years, due to the progress of science and technology, people bring into use automation equipment to go over examination papers gradually, but for current automatic marking papers system, there is following problem:
1. need by specific answer sheet answer;
2. can only carry out fractional statistics in the analysis result of taking an examination, the statistics and analysis that situation is grasped in knowledge point can not be carried out;
3. get through the examinations and can only reach the object of the grasp situation judging knowledge in the past, and can not reach automatically by the grasp situation to the knowledge point in examination result, to the object that student trains targetedly; So people need the automatic marking papers system more met the demands.
Summary of the invention
The technical matters that the present invention mainly solves is to provide a kind of automatic marking method of Corpus--based Method and analysis knowledge point grasp situation, have that reliability is high, accurate positioning, diverse in function, simple operation and other advantages, simultaneously automatic marking papers system application and universal on have market outlook widely.
For solving the problems of the technologies described above, the technical scheme that the present invention adopts is:
There is provided a kind of Corpus--based Method and analysis knowledge point to grasp the automatic marking method of situation, its step comprises: 1) paper information acquisition: judge in client and select the type of paper, and obtaining paper locating information and test question information;
1.1) at the anchor point of the newly-built paper information of client and paper position, and the picture of paper is obtained;
1.2) pre-service is carried out to the picture of paper;
1.3) locating information on paper picture is gathered: use similar algorithm, find out the position of location character or general character; On paper picture, dispersion select N number of locating area, and utilize automatic segmentation algorithm, locating area cut into independent picture region; Content on scanning independent picture region, determines the position of each independent picture region on paper picture really; In independent picture region, continuous print is chosen and is obtained the pattern on N number of second isolated area; Judge on the independent picture region outside the second isolated area, whether there is the region identical with the pattern on the second isolated area, if existed, then continue in independent picture region, choose N+1 the second isolated area, if there is no, then record the pattern on N number of second isolated area, and the present position of the second isolated area is set to anchor point; Location character or general character and anchor point are contrasted, corrects scope and the size of paper picture;
1.4) Page Segmentation: according to anchor point and paper content, becomes several space of a whole page pictures by paper picture segmentation, and resets these space of a whole page pictures;
1.5) test question information collection and preservation: scan each space of a whole page picture, obtains and gathers the test question information on each space of a whole page and answer region, and will the space of a whole page picture of identical content be had to be placed in a set; Arrange and gather the increment wizard-like information of test question information, and by the test question information collected incrementally wizard-like information preserve; Generate and print the figure code of paper Information Monitoring or No. ID, figure code or No. ID are pasted onto on paper;
2) upload paper picture and subjective item reads and makes comments information: according to the type of paper, select the mode read and made comments;
When the type of paper is examination paper, selection papery reads and makes comments or computer is read and made comments;
When selecting papery exam paper marking, the teacher that gos over examination papers directly reads and makes comments subjective item on paper, and be then scanned into picture by unified for the paper read and made comments, batch uploads to service end to carry out unifying automatic marking;
When selecting computer to read and make comments, first unification is scanned into picture, and batch uploads to service end, and then user reads and makes comments subjective item with client is auxiliary, finally carries out unifying automatic marking in service end;
When the type of paper is exercise volume, user can utilize client to take pictures to exercise volume, and by photo upload to service end; Then the teacher that gos over examination papers reads and makes comments subjective item with client is auxiliary; Finally the exercise volume having read and made comments subjective item is uploaded to service end, carries out unifying automatic marking;
3) automatic marking is unified: obtain the space of a whole page picture in paper picture or same set;
A newly-built job task information table, scans and obtains the student information often opened on paper picture or space of a whole page picture, and being kept at by student information in job task information table;
Objective item is read and made comments: extract the job task information table corresponding with the student information on paper picture, when scanning the objective item on paper picture or space of a whole page picture, extract the answer of objective item, then check on one's answers and carry out scanning and automatically identify, judge and calculate the score of objective item, extract the problem knowledge point of objective item simultaneously, and score and problem knowledge point are kept at job task information table;
Subjective item is read and made comments: if go over examination papers on computers, the teacher that gos over examination papers can mark on answer picture to, wrong or half to symbol, or in job task information table, input score and problem knowledge point by hand-written control; If go over examination papers on paper, then by go over examination papers teacher directly in paper answer district hand-written mark to, wrong or half to symbol, write score and problem knowledge point simultaneously; Client directly scans paper, extracts the student information on paper picture, and transfers the job task information table of this student; Service end identifies the score read and made comments and the problem knowledge point of the teacher that gos over examination papers automatically, and is saved in job task information table by score and problem knowledge point;
Objective item read and make comments read and make comments with subjective item time, if service end cannot identify the answer on paper picture or space of a whole page picture automatically, then the picture that leaves a question open of None-identified is sent to and leaves a question open in item set;
In job task information table, extract all scores corresponding to each student and problem knowledge point, calculate and preserve the total performance of each student;
4) item that leaves a question open is repaired: extract the item set that leaves a question open, check the item that leaves a question open one by one, obtain the picture that leaves a question open that this leaves a question open in item; Obtain the content information judged when service end identifies automatically, if the content information that service end judges is correct, then selects and preserve this content information; If the content information judged is incorrect, then the teacher that gos over examination papers manually inputs correct judgement information; According to the amendment information of the item that leaves a question open, recalculate the total performance of student corresponding to the item that to leave a question open with this;
5) examination result statistics: according to the difference in report role, report time and report space, generate different statistical reports; According to the problem knowledge point of student each in job task information table, automatic sorting knowledge point, and the training set generating corresponding problem knowledge point; According to time or knowledge point, automatically generate wrong topic collection.
In a preferred embodiment of the present invention, the described picture to paper carries out pre-service and comprises binaryzation, denoising and image rectification successively.
In a preferred embodiment of the present invention, the concrete steps that described batch uploads paper picture comprise: newly-builtly upload mission bit stream table, then paper picture are all uploaded to service end; Pre-service is carried out to paper picture; Obtain the figure code of paper Information Monitoring or No. ID: judge whether first paper has figure code or No. ID, if do not had, just point out user manually to input figure code or No. ID; If had, just interpreting blueprints code or No. ID are conciliate in scanning; According to No. ID, judge whether change No. ID corresponding paper Information Monitoring is kept at service end, if do not preserved, then prompting re-starts paper information acquisition, if preserved, is then added on No. ID that changes paper and uploads in mission bit stream table; Scan and obtain the class's information on first paper, if there is no class's information, then prompting manually input class information; Class's information being kept at uploads in mission bit stream table; Mission bit stream table will be uploaded and be uploaded to service end, incite somebody to action and start unified automatic marking.
In a preferred embodiment of the present invention, describedly pretreated concrete steps are carried out to paper picture comprise successively: image is become a full member, image layered, binaryzation and denoising.
In a preferred embodiment of the present invention, described scanning also obtains the concrete steps of often opening student information on paper picture and comprises: scanning paper picture, automatically identifies and extracts the student number information on paper picture of often opening and name information; According to student number information, retrieve in the database of service end, find out the name information corresponding with student number; The name information found and the name information recognized are carried out contrast verification, if both are inconsistent, then prompting makes mistakes; If consistent, then 1 student number information and 1 corresponding name information are formed a set; When the quantity occurring the name information of student number information or correspondence in a set is not 1, then this set is identified, and this set is sent to leaves a question open in item set; Client receives the information of the item set that leaves a question open, and prompting makes mistakes.
In a preferred embodiment of the present invention, described student information comprises student number and name.
In a preferred embodiment of the present invention, described test question information comprises as topic type, topic face, score value, correct option, answer district and corresponding knowledge point.
In a preferred embodiment of the present invention, upload in mission bit stream table described in described job task information table is based upon.
The invention has the beneficial effects as follows: not only by specific answer sheet answer; Also on common paper, answer also can carry out automatic marking, in addition, fractional statistics can not only be carried out to examination result, the statistics and analysis that situation is grasped in knowledge point can also be carried out.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings, wherein:
Fig. 1 is the schematic flow sheet that Corpus--based Method of the present invention and analysis knowledge point grasp the automatic marking method of situation;
Fig. 2 is the process flow diagram of described paper information acquisition of the present invention;
Fig. 3 of the present inventionly uploads the process flow diagram that paper picture and subjective item read and make comments information;
Fig. 4 is the process flow diagram of unified automatic marking of the present invention;
Fig. 5 is that described correction of the present invention leaves a question open the process flow diagram of item.
Embodiment
Be clearly and completely described to the technical scheme in the embodiment of the present invention below, obviously, described embodiment is only a part of embodiment of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.
Refer to Fig. 1, the embodiment of the present invention comprises:
Corpus--based Method and analysis knowledge point grasp an automatic marking method for situation, and step comprises:
1) paper information acquisition: judge in client and select the type of paper, and obtain paper locating information and test question information, described test question information comprises as topic type, topic face, score value, correct option, answer district and corresponding knowledge point, as long as this step completes before going over examination papers, the paper that paper comprises the general paper of third party and generates with the creation system for test paper of oneself exploitation, for the paper that the creation system for test paper developed with oneself generates, its paper information can synchronously automatically generate in the process generating paper;
1.1) at the anchor point of the newly-built paper information of client and paper position, and the picture of paper is obtained;
1.2) carry out pre-service to the picture of paper, the described picture to paper carries out pre-service and comprises binaryzation, denoising and image rectification successively;
1.3) locating information on paper picture is gathered: use similar algorithm, find out the position of location character or general character; On paper picture, dispersion select N number of locating area, and utilize automatic segmentation algorithm, locating area cut into independent picture region; Content on scanning independent picture region, determines the position of each independent picture region on paper picture really; In independent picture region, continuous print is chosen and is obtained the pattern on N number of second isolated area; Judge on the independent picture region outside the second isolated area, whether there is the region identical with the pattern on the second isolated area, if existed, then continue in independent picture region, choose N+1 the second isolated area, if there is no, then record the pattern on N number of second isolated area, and the present position of the second isolated area is set to anchor point; Location character or general character and anchor point are contrasted, corrects scope and the size of paper picture;
1.4) Page Segmentation: according to anchor point and paper content, becomes several space of a whole page pictures by paper picture segmentation, and resets these space of a whole page pictures;
1.5) test question information collection and preservation: scan each space of a whole page picture, obtains and gathers the test question information on each space of a whole page and answer region, and will the space of a whole page picture of identical content be had to be placed in a set; Arrange and gather the increment wizard-like information of test question information, and by the test question information collected incrementally wizard-like information preserve; Generate and print the figure code of paper Information Monitoring or No. ID, figure code or No. ID are pasted onto on paper;
When arranging and gather the increment wizard-like information of test question information, namely entirely rolling up scanning, to greatest extent when automatic identification surface information, generating a possibility information acquisition framework, and surface information will be inscribed with the format record of " wizard-like " below:
A. first class catalogue: generic logic: topic mark+key word: automatically identify to inscribe mark and be aided with the key word such as " selection ", " judgement ", " filling a vacancy ", " question and answer "; Find out rule and automatically identify score value;
B. second-level directory: generic logic: topic mark+answer district feature:
Objective item: the label started most with the face of inscribing, the bracket " () " or the underscore " k " that are aided with empty content they are distinguishing mark identification; With the algorithm of region growing, an answer region can be grown, to simplify the operation of user;
Subjective item: the label started most with the face of inscribing, the large stretch of white space be aided with as answer district is landmark identification;
C. face of inscribing gathers and can be written as interface, interface-oriented programming, can realize the automatic acquisition interface of interface and the automatic identification surface information manually gathered;
Arrange and gather the increment wizard-like information of test question information, and all settings and the information that collects are entered
Row is preserved, concrete steps:
1. increment type adds, indicative interpolation: point out all possibilities of next state, and user selects to add on prime information basis afterwards;
2. can adopt MVC structure: Model: various topic type; View: the view that topic type is corresponding; Controller: view and user mutual and controlling;
3. can adopt Command pattern: Redo, Undo operation supporting user;
4. by possible for the next one of all nodes can all the writing in XML file by edit item of selection operation and this node: editor's (default setting), to should the Controller of Model: the topic type as first class catalogue and total score can be edited, the model answer of second-level directory, examination point; Delete; Add brother; Add child; On move (sane level); Move down (sane level); Upgrading; Degradation; If could not successfully grow answer district, can choose with the method for Freehandhand-drawing;
5. program code is only towards abstract node, and has nothing to do with the option of certain concrete node;
6. entirety is a directory tree;
7. all Information Monitorings are preserved into XML file (reserved entry of preserving the information such as user's answer);
8. pair topic information that could not correctly identify, can pass through edit item (having subitem below, as " selecting answer district " button) manual modification of this node, as far as possible user-friendly;
9. preserve into XML file (reserved entry of preserving the information such as user's answer);
10. Information Monitoring is saved in database;
Information Monitoring is generated Quick Response Code (preserving whole Information Monitoring) or one-dimension code (only preserving No. ID) by 11.;
12. print publish picture code or No. ID, are attached on paper envelope and independent one-page;
2) upload paper picture and subjective item reads and makes comments information: according to the type of paper, select the mode read and made comments;
When the type of paper is examination paper, selection papery reads and makes comments or computer is read and made comments;
When selecting papery exam paper marking, the teacher that gos over examination papers directly reads and makes comments subjective item on paper, and be then scanned into picture by unified for the paper read and made comments, batch uploads to service end to carry out unifying automatic marking;
When selecting computer to read and make comments, first unification is scanned into picture, and batch uploads to service end, and then user reads and makes comments subjective item with client is auxiliary, finally carries out unifying automatic marking in service end;
When the type of paper is exercise volume, user can utilize client to take pictures to exercise volume, and by photo upload to service end; Then the teacher that gos over examination papers reads and makes comments subjective item with client is auxiliary; Finally the exercise volume having read and made comments subjective item is uploaded to service end, carries out unifying automatic marking.
The concrete steps that described batch uploads paper picture comprise: newly-builtly upload mission bit stream table (Task), then paper picture are all uploaded to service end; Pre-service is carried out to paper picture; Obtain the figure code of paper Information Monitoring or No. ID: judge whether first paper has figure code or No. ID, if do not had, just point out user manually to input figure code or No. ID; If had, just interpreting blueprints code or No. ID are conciliate in scanning; According to No. ID, judge whether change No. ID corresponding paper Information Monitoring is kept at service end, if do not preserved, then prompting re-starts paper information acquisition, if preserved, is then added on No. ID that changes paper and uploads in mission bit stream table; Scan and obtain the class's information on first paper, if there is no class's information, then prompting manually input class information; Class's information being kept at uploads in mission bit stream table; Mission bit stream table will be uploaded and be uploaded to service end, incite somebody to action and start unified automatic marking, describedly pretreated concrete steps carried out to paper picture comprise successively: image is become a full member, image layered, binaryzation and denoising.
3) automatic marking is unified: obtain the space of a whole page picture in paper picture or same set;
Uploading a newly-built job task information table in mission bit stream table, scanning and obtaining the student information often opened on paper picture or space of a whole page picture, and student information being kept in job task information table;
Objective item is read and made comments: extract the job task information table corresponding with the student information on paper picture, when scanning the objective item on paper picture or space of a whole page picture, extract the answer of objective item, then check on one's answers and carry out scanning and automatically identify, judge and calculate the score of objective item, extract the problem knowledge point of objective item simultaneously, and score and problem knowledge point are kept at job task information table;
Subjective item is read and made comments: if go over examination papers on computers, the teacher that gos over examination papers can mark on answer picture to, wrong or half to symbol, or in job task information table, input score and problem knowledge point by hand-written control; If go over examination papers on paper, then by go over examination papers teacher directly in paper answer district hand-written mark to, wrong or half to symbol, write score and problem knowledge point simultaneously; Client directly scans paper, extracts the student information on paper picture, and transfers the job task information table of this student; Service end identifies the score read and made comments and the problem knowledge point of the teacher that gos over examination papers automatically, and is saved in job task information table by score and problem knowledge point;
Objective item read and make comments read and make comments with subjective item time, if service end cannot identify the answer on paper picture or space of a whole page picture automatically, then the picture that leaves a question open of None-identified is sent to and leaves a question open in item set;
In job task information table, extract all scores corresponding to each student and problem knowledge point, calculate and preserve the total performance of each student;
In same automatic marking, most student answers the questions in a test paper excellent certain requirement: often open the region that paper must have and fill in name, but may not fill in the region of student number, if do not have student number region, then regulation student number must write on after name;
In objective item, read and make comments single choice (being applicable to True-False): following two scheme alternatives
A. increment expanding deletes scheme+resolution supreme principle: recommend this scheme, because have higher universal, less to user habit constraint;
B. multiple choice: increment expanding deletion+resolution supreme principle;
Subjective item sentences rollback request:
A. unified only the writing of subjective question marking is just dividing or is unifying only to write negative point;
B. to mistake with partly to not marking, but mark must be marked;
C. ask the subjective item of (or multiple little topic) for having, when wrong (entirely not right, if only marking mark is exactly non-full marks) more:
C1. must indicate concrete score or lose points, and situation is grasped in knowledge point: to mark for the large topic in whole road or refineing to the little topic of per pass all marks;
C2. otherwise (do not indicate concrete score or lose points and knowledge point grasp situation), point rule and a knowledge point analysis rule (solving by XML configuration file) should be set to;
D. complete to or completely wrong etc. can automatic analysis go out knowledge point grasp situation when, knowledge point can not be marked and grasp situation;
E. increment expanding deletion+resolution supreme principle.
Subjective question marking principle: only pay close attention to the total of large topic and sentence topic result: namely only pay close attention to the large PTS of topic and the grasp situation of total knowledge point, do not pay close attention to the grasp situation of the concrete scoring event of each little topic and the knowledge point of each little topic; Namely the position sentenced topic result and write is not paid close attention to;
The priority of mark and knowledge point situation identification: if having explicit mark mark and knowledge point, with the mark of explicit mark and knowledge point for override; If there is no explicit mark mark and knowledge point, then can be derived by the mode inferred mark and knowledge point (as complete to or completely wrong situation can not mark knowledge point).
4) finishing leaves a question open item, namely manually revises the item that leaves a question open of some in automatic identifying: extract the item set that leaves a question open, check the item that leaves a question open one by one, obtain the picture that leaves a question open that this leaves a question open in item; Obtain the content information judged when service end identifies automatically, if the content information that service end judges is correct, then selects and preserve this content information; If the content information judged is incorrect, then the teacher that gos over examination papers manually inputs correct judgement information; According to the amendment information of the item that leaves a question open, recalculate the total performance of student corresponding to the item that to leave a question open with this;
5) examination result statistics: according to the difference in report role, report time and report space, generate different statistical reports; According to the problem knowledge point of student each in job task information table, automatic sorting knowledge point, and the training set generating corresponding problem knowledge point; According to time or knowledge point, automatically generate wrong topic collection.
Different by report role, different statistic analysis result can be reported, as:
Student: the grasp situation of the knowledge point involved by the examination participated in certain student carries out statistical study;
The head of a family: the grasp situation of the knowledge point involved by the examination participated in child's (may have multiple) of certain head of a family carries out statistical study;
Teacher: the grasp situation of the knowledge point involved by the examination participated in the student of certain teacher carries out statistical study;
Director: the grasp situation of the knowledge point involved by the examination participated in the student of certain grade carries out statistical study;
Principal: the grasp situation of the knowledge point involved by the examination participated in the student of certain school carries out statistical study;
By the difference comprising the time, different statistic analysis result can be reported, as:
This term: statistical study is carried out to the grasp situation of the knowledge point involved by the examination in this term;
This month: statistical study is carried out to the grasp situation of the knowledge point involved by the examination of this month;
This week: statistical study is carried out to the grasp situation of the knowledge point involved by the examination of this week;
During Data1 ~ Data2: statistical study is carried out to the grasp situation of the knowledge point involved by the examination during Data1 ~ Data2;
By the difference comprising space, different statistic analysis result can be reported, as:
All knowledge points: statistical study is carried out to the grasp situation of all knowledge points;
This term knowledge point: statistical study is carried out to the grasp situation of the knowledge point in this term;
Certain unit knowledge point: statistical study is carried out to the grasp situation of the knowledge point of certain unit;
Certain knowledge point: statistical study is carried out to the grasp situation of certain knowledge point;
Certain examination: statistical study is carried out to the grasp situation of the knowledge point of certain examination;
The examination of certain unit: statistical study is carried out to the grasp situation of the knowledge point of certain unit;
The examination in certain term: statistical study is carried out to the grasp situation of the knowledge point in certain term;
Specific aim study and training: can grasp situation according to the knowledge point counted above, automatically generate explanation and the summary of corresponding knowledge point, allow student learn targetedly; Situation can be grasped according to the knowledge point counted above, automatically generate the education question of corresponding knowledge point, allow student carry out special training;
Wrong topic collection: automatically form the mistake topic collection of student at certain one-phase: can to support temporally, knowledge point etc.;
Different condition is inquired about; Can support to arrange by the different condition such as weak degree of knowledge point;
Data mining: the data analysis of study (teaching) custom is excavated: the long-term examination data of record student,
Deficiency on analysis mining Students ' Learning custom (teacher impart knowledge to students custom); Study (teaching) custom specific aim improvement idea and training; For the deficiency on Students ' Learning custom (teacher impart knowledge to students custom), suggest improvements, and carry out special training;
described scanning also obtains the concrete steps of often opening student information on paper picture and comprises:
Scanning paper picture, automatically identifies and extracts the student number information on paper picture of often opening and name information;
According to student number information, retrieve in the database of service end, find out the name information corresponding with student number;
The name information found and the name information recognized are carried out contrast verification, if both are inconsistent, then prompting makes mistakes; If consistent, then 1 student number information and 1 corresponding name information are formed a set;
When the quantity occurring the name information of student number information or correspondence in a set is not 1, then this set is identified, and this set is sent to leaves a question open in item set; Client receives the information of the item set that leaves a question open, and prompting makes mistakes.
Described student information comprises student number and name.
The beneficial effect that the present invention is based on the automatic marking method of statistics and analysis knowledge point grasp situation is:
1. not only by specific answer sheet answer; Also on common paper, answer also automatic marking can be carried out;
2. can not only carry out fractional statistics to examination result, the statistics and analysis that situation is grasped in knowledge point can also be carried out;
3. get through the examinations and can not only reach the object of the grasp situation judging knowledge in the past, can also reach automatically by the grasp situation to the knowledge point in examination result, to the object that student trains targetedly.
The foregoing is only embodiments of the invention; not thereby the scope of the claims of the present invention is limited; every utilize description of the present invention to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical field, be all in like manner included in scope of patent protection of the present invention.
Claims (8)
1. Corpus--based Method and analysis knowledge point grasp an automatic marking method for situation, and it is characterized in that, step comprises:
1) paper information acquisition: judge in client and select the type of paper, and obtaining paper locating information and test question information;
1.1) at the anchor point of the newly-built paper information of client and paper position, and the picture of paper is obtained;
1.2) pre-service is carried out to the picture of paper;
1.3) locating information on paper picture is gathered: use similar algorithm, find out the position of location character or general character; On paper picture, dispersion select N number of locating area, and utilize automatic segmentation algorithm, locating area cut into independent picture region; Content on scanning independent picture region, determines the position of each independent picture region on paper picture really; In independent picture region, continuous print is chosen and is obtained the pattern on N number of second isolated area; Judge on the independent picture region outside the second isolated area, whether there is the region identical with the pattern on the second isolated area, if existed, then continue in independent picture region, choose N+1 the second isolated area, if there is no, then record the pattern on N number of second isolated area, and the present position of the second isolated area is set to anchor point; Location character or general character and anchor point are contrasted, corrects scope and the size of paper picture;
1.4) Page Segmentation: according to anchor point and paper content, becomes several space of a whole page pictures by paper picture segmentation, and resets these space of a whole page pictures;
1.5) test question information collection and preservation: scan each space of a whole page picture, obtains and gathers the test question information on each space of a whole page and answer region, and will the space of a whole page picture of identical content be had to be placed in a set; Arrange and gather the increment wizard-like information of test question information, and by the test question information collected incrementally wizard-like information preserve; Generate and print the figure code of paper Information Monitoring or No. ID, figure code or No. ID are pasted onto on paper;
2) upload paper picture and subjective item reads and makes comments information: according to the type of paper, select the mode read and made comments;
When the type of paper is examination paper, selection papery reads and makes comments or computer is read and made comments;
When selecting papery exam paper marking, the teacher that gos over examination papers directly reads and makes comments subjective item on paper, and be then scanned into picture by unified for the paper read and made comments, batch uploads to service end to carry out unifying automatic marking;
When selecting computer to read and make comments, first unification is scanned into picture, and batch uploads to service end, and then user reads and makes comments subjective item with client is auxiliary, finally carries out unifying automatic marking in service end;
When the type of paper is exercise volume, user can utilize client to take pictures to exercise volume, and by photo upload to service end; Then the teacher that gos over examination papers reads and makes comments subjective item with client is auxiliary; Finally the exercise volume having read and made comments subjective item is uploaded to service end, carries out unifying automatic marking;
3) automatic marking is unified: obtain the space of a whole page picture in paper picture or same set;
A newly-built job task information table, scans and obtains the student information often opened on paper picture or space of a whole page picture, and being kept at by student information in job task information table;
Objective item is read and made comments: extract the job task information table corresponding with the student information on paper picture, when scanning the objective item on paper picture or space of a whole page picture, extract the answer of objective item, then check on one's answers and carry out scanning and automatically identify, judge and calculate the score of objective item, extract the problem knowledge point of objective item simultaneously, and score and problem knowledge point are kept at job task information table;
Subjective item is read and made comments: if go over examination papers on computers, the teacher that gos over examination papers can mark on answer picture to, wrong or half to symbol, or in job task information table, input score and problem knowledge point by hand-written control; If go over examination papers on paper, then by go over examination papers teacher directly in paper answer district hand-written mark to, wrong or half to symbol, write score and problem knowledge point simultaneously; Client directly scans paper, extracts the student information on paper picture, and transfers the job task information table of this student; Service end identifies the score read and made comments and the problem knowledge point of the teacher that gos over examination papers automatically, and is saved in job task information table by score and problem knowledge point;
Objective item read and make comments read and make comments with subjective item time, if service end cannot identify the answer on paper picture or space of a whole page picture automatically, then the picture that leaves a question open of None-identified is sent to and leaves a question open in item set;
In job task information table, extract all scores corresponding to each student and problem knowledge point, calculate and preserve the total performance of each student;
4) item that leaves a question open is repaired: extract the item set that leaves a question open, check the item that leaves a question open one by one, obtain the picture that leaves a question open that this leaves a question open in item; Obtain the content information judged when service end identifies automatically, if the content information that service end judges is correct, then selects and preserve this content information; If the content information judged is incorrect, then the teacher that gos over examination papers manually inputs correct judgement information; According to the amendment information of the item that leaves a question open, recalculate the total performance of student corresponding to the item that to leave a question open with this;
5) examination result statistics: according to the difference in report role, report time and report space, generate different statistical reports; According to the problem knowledge point of student each in job task information table, automatic sorting knowledge point, and the training set generating corresponding problem knowledge point; According to time or knowledge point, automatically generate wrong topic collection.
2. Corpus--based Method according to claim 1 and analysis knowledge point grasp the automatic marking method of situation, and it is characterized in that, the described picture to paper carries out pre-service and comprises binaryzation, denoising and image rectification successively.
3. Corpus--based Method according to claim 1 and analysis knowledge point grasp the automatic marking method of situation, and it is characterized in that, the concrete steps that described batch uploads paper picture comprise:
Newly-builtly upload mission bit stream table, then paper picture is all uploaded to service end;
Pre-service is carried out to paper picture;
Obtain the figure code of paper Information Monitoring or No. ID: judge whether first paper has figure code or No. ID, if do not had, just point out user manually to input figure code or No. ID; If had, just interpreting blueprints code or No. ID are conciliate in scanning; According to No. ID, judge whether change No. ID corresponding paper Information Monitoring is kept at service end, if do not preserved, then prompting re-starts paper information acquisition, if preserved, is then added on No. ID that changes paper and uploads in mission bit stream table;
Scan and obtain the class's information on first paper, if there is no class's information, then prompting manually input class information; Class's information being kept at uploads in mission bit stream table;
Mission bit stream table will be uploaded and be uploaded to service end, incite somebody to action and start unified automatic marking.
4. Corpus--based Method according to claim 1 and analysis knowledge point grasp the automatic marking method of situation, it is characterized in that, describedly carry out pretreated concrete steps to paper picture and comprise successively: image is become a full member, image layered, binaryzation and denoising.
5. Corpus--based Method according to claim 1 and analysis knowledge point grasp the automatic marking method of situation, it is characterized in that, described scanning the concrete steps obtaining the student information often opened on paper picture comprise:
Scanning paper picture, automatically identifies and extracts the student number information on paper picture of often opening and name information;
According to student number information, retrieve in the database of service end, find out the name information corresponding with student number;
The name information found and the name information recognized are carried out contrast verification, if both are inconsistent, then prompting makes mistakes; If consistent, then 1 student number information and 1 corresponding name information are formed a set;
When the quantity occurring the name information of student number information or correspondence in a set is not 1, then this set is identified, and this set is sent to leaves a question open in item set; Client receives the information of the item set that leaves a question open, and prompting makes mistakes.
6. Corpus--based Method according to claim 1 and analysis knowledge point grasp the automatic marking method of situation, and it is characterized in that, described student information comprises student number and name.
7. Corpus--based Method according to claim 1 and analysis knowledge point grasp the automatic marking method of situation, and it is characterized in that, described test question information comprises as topic type, topic face, score value, correct option, answer district and corresponding knowledge point.
8. Corpus--based Method according to claim 1 and analysis knowledge point grasp the automatic marking method of situation, it is characterized in that, upload in mission bit stream table described in described job task information table is based upon.
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Application publication date: 20150729 |