CN109242856A - A kind of papery operation electronization reads and makes comments method and device - Google Patents
A kind of papery operation electronization reads and makes comments method and device Download PDFInfo
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- CN109242856A CN109242856A CN201710554243.3A CN201710554243A CN109242856A CN 109242856 A CN109242856 A CN 109242856A CN 201710554243 A CN201710554243 A CN 201710554243A CN 109242856 A CN109242856 A CN 109242856A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
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- G06V10/24—Aligning, centring, orientation detection or correction of the image
- G06V10/243—Aligning, centring, orientation detection or correction of the image by compensating for image skew or non-uniform image deformations
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
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- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
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Abstract
The present invention provides a kind of papery operation electronizations to read and make comments method and device, which comprises shoots papery operation at picture；The picture is corrected and target job is extracted；Identify the information in first area, second area, third region and the fourth region in the picture；According to the information identified, whether be objective item, judge whether the topic has been corrected if judging whether the picture is first, judges topic；According to judging result, result, statistical data and historical information are corrected in generation；Result and statistical data are corrected described in transmission；Inquire the historical information.The advantage of the invention is that, teaching material is divided into four functional areas, so that operation step during informationization is less, reduces the complexity during information computerization, operation is more easier, and it is complex with papery operation electronization to solve the problems, such as that subjective item electronic can not go over examination papers.
Description
Technical field
The present invention relates to a kind of methods that operation is read and made comments, and read and make comments method more particularly to a kind of papery operation electronization.
Background technique
Currently, various large-scale examinations, are generally used dedicated answering card and card reader carry out reading and making comments for objective item, so that examining
The efficiency of reading and making comments of examination greatly improves.However, for the interim of school organization, final examination, with hall test and homework etc., always
Teacher still needs to using traditional artificial receipts method to go over files.This is mainly due to dedicated answering card and card reader, high speed scanner at
This is excessively high, generates financial burden commonly using to school.
In addition, dedicated answering card can only electronics read and make comments objective item, for subjective item, still have in a manner of group signature come
It reads and makes comments, this people that go over examination papers must read and make comments in fixed-site (such as office, classroom), and can not achieve mobile office.Religion
Material disunity, so that information computerization process becomes complicated.Existing mode of going over examination papers, education administrators cannot be obtained promptly and accurately
Obtain teaching efficiency statistical data, education examination result lag.In order to more easily allow the people that gos over examination papers to go over examination papers at any time, thoroughly realizes and read
Volume electronization, allows education administrators precisely, timely to be imparted knowledge to students as a result, it is desirable to improve to existing technology.
Summary of the invention
In view of the foregoing deficiencies of prior art, the purpose of the present invention is to provide a kind of papery operation electronizations to read and make comments
Method and apparatus, for solve in the prior art subjective item can not electronization go over examination papers and papery operation electronization is more complicated asks
Topic.
It is of the invention to read and make comments module and be loaded in common electronic equipment, such as mobile phone, tablet computer, computer, it replaces
High high speed scanner reduces costs.Unified cannonical format is defined on teaching auxiliary material, teaching material is divided into four
Functional areas reduce the complexity during information computerization, operation is more so that operation step during informationization is less
It is easy to add.Student fulfils assignment can be realized and correct automatically, improves the timeliness of job result statistics.Education administrators, which are checked, to be gone through
History message can precisely, timely obtain teaching efficiency statistical data.
In order to achieve the above objects and other related objects, the present invention provides a kind of papery operation electronization and reads and makes comments method, wraps
Include following steps:
Step 1, the first papery operation is shot, picture is generated, the picture is corrected and target job is extracted；
Step 2, the first information and the second information for identifying first area, proofread the picture, according to described according to the first information
Second information divides the picture；
Step 3, the picture after segmentation is taken out, identifies the third information and the 4th information of second area, according to third information, judgement
Whether the picture is first, if so, step 4 is jumped to, if it is not, then jumping to step 5；
Step 4, according to the third information and the 4th information, page number ID and student ID is generated；
Step 5, the 5th information for identifying third region generates question number index, identifies from the fourth region according to the 5th information
Answer result out；It is indexed according to the page number ID and the question number, obtains topic ID and type；According to the topic ID and class
Type judges whether the topic is objective item, if so, going to step 6, otherwise goes to step 7；
Step 6, objective item is corrected automatically；Go to step 8；
Step 7, judge whether the topic has been corrected, if so, going to step 8, otherwise go to step 9；
Step 8, it generates result and saves answer screenshot, result data is distributed to the first user；Historical information is generated, for third
User query；
Step 9, subjective item answer screenshot is saved, second user is distributed to and corrected on line, preservation is corrected as a result, and generating system
It counts, result data is distributed to the first user；Historical information is generated, for third user query.
Preferably, the first information is alignment pattern, and second information is partition graph；The third information is the
One bar code, first bar code include teaching material version, grade, volume number, unit and page number information；4th information is to learn
Second bar code or two dimensional code of raw the barcode size or text field, second bar code or two dimensional code include the ID and name letter of student
Breath；5th information is topic number.
Preferably, first user is the user with reception result data permission；The second user be with batch
Read the user of permission；The third user is the user with query history information permission.
Preferably, the statistical data includes class and personal accuracy, completion rate, weak spot and knowledge point.
Preferably, the first papery operation is that the operation of the subjective item is corrected under the non-line of second user.
Preferably, the first papery operation is that the operation of the subjective item is corrected under the second user line.
A kind of papery operation electronization reads and makes comments device, and described device includes:
Camera unit, for shooting papery operation at picture；
Objective extraction unit, for the picture is corrected and target job extract；
Recognition unit, for identification letter in the first area in the picture, second area, third region and the fourth region
Breath；
First judging unit, for judging whether the picture is first；
Second judgment unit, for judging whether topic is objective item；
Third judging unit, for judging whether the topic has been corrected；
Generation unit corrects result, statistical data and historical information for generating；
Transmission unit described corrects result and statistical data for sending；
Query unit, for inquiring the historical information.
A kind of mobile terminal is provided with camera unit, and the mobile terminal, which is additionally provided with, reads and makes comments module, described to read and make comments module
Include:
Objective extraction unit, the picture for shooting to the camera unit is corrected and target job is extracted；
Recognition unit, for identification letter in the first area in the picture, second area, third region and the fourth region
Breath；
First judging unit, for judging whether the picture is first；
Second judgment unit, for judging whether topic is objective item；
Third judging unit, for judging whether the topic has been corrected；
Generation unit corrects result, statistical data and historical information for generating；
Transmission unit described corrects result and statistical data for sending；
Query unit, for inquiring the historical information.
Through the invention, user can flexibly input, and only needing the image of user includes picture resource, utilize certain method
Target paper is extracted, it is all that the face of paper is needed to input in the prior art that this and traditional method, which are distinguishing,
And determine size, what the high speed scanner for being all for example scanned.
As shown in Fig. 2, papery paper is divided into four functional areas by the present invention, in first area 1, vertical line is calibration
Line, black small rectangle square is cut-off rule, for separating each characteristic area；In second area 2, there are paper information and student
Information, paper information are bar code, and student information can be bar code or two dimensional code, and student information is posted in student's bar code
At patch；In third region 3, there is question number, rounded square therein is identification region；In the fourth region 4, there is answer result.This
Invention will divide four functional areas into papery paper, primarily to facilitate our image recognitions and analysis to paper,
And the data in later period and our on-line systems correspond, as shown in Fig. 2, being specifically described as follows: first area 1 is inner small black
Frame is for separating each characteristic area, for example incipient paper code/region student id, there are also the region of every problem,
It is cut into paper/student information and per pass topic block accordingly；Second area 2 be exactly in order to identify paper id and student id, because
Each paper has in our systems before printing publication to be recorded one by one, and it is all to have record which topic is every page, which have,
, as long as topic that this page is included and correct can be found out in our systems so we identify this paper id
Answer, student id are also same reason, there is the two, submit that comes up to take pictures from any appliance, so that it may orient this
It is which part examination paper which student does；Third region 3 is question number, and the fourth region 4 is answer or teacher comment to mistake；There is this
The division in four regions, it is possible to determine that go out the situation of answering of every problem student, so that step is more during informationization for operation
It is few, the complexity during information computerization is reduced, operation is more easier.
Detailed description of the invention
Fig. 1 is the schematic diagram that papery operation electronization of the present invention reads and makes comments method flow.
Fig. 2 is the schematic diagram of papery job content definition format of the present invention.
Fig. 3 is the schematic diagram of printing and publishing papery operation of the present invention.
Fig. 4 is the schematic diagram of the operation of upload of the invention of taking pictures.
Fig. 5 is the schematic diagram of the boundary curve of target job of the present invention.
Fig. 6 is the schematic diagram present invention determine that target job vertex.
Fig. 7 is the schematic diagram for the target job that the present invention extracts.
Fig. 8 is the schematic diagram of cut-off rule template matching of the invention.
Fig. 9 is the schematic diagram in the region that present invention cutting is set a question.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In system service, picture is handled using openCV, the knowledge of number and character is carried out using Tesseract
Not, the identification of bar code and two dimensional code is carried out using zxing.Picture extracts, and separates, and extracts, highlighting these can use
Opencv is realized, is also able to achieve there are also some open source libraries, such as the tensorflow that google increases income out;Number and word
The identification of symbol can also be realized with opencv, identify hand-written character for example, by using the KNN inside opencv.
Through the invention, two ways can be used to carry out work correction in teacher:
One, teacher is corrected students' papers on line by computer or mobile phone, step are as follows:
1. student fulfils assignment on tutoring book (or paper), is then taken pictures by mobile device and be uploaded to server-side.
2. server-side can carry out relevant treatment (correct, extract, identification, cutting etc.) to picture, and carry out certainly to objective item
It is dynamic to correct, while subjective item being cut to save and distribute to teacher and is corrected.
3. teacher, after line corrects completion students' work, the performance of server-side meeting statistic operation is generated and is corresponded to
Statistical information (class and personal accuracy, weak spot and knowledge point etc.), feed back to school, teacher, parents and students.
Two, teacher directly corrects students' papers on paper, step are as follows:
1. student fulfils assignment on tutoring book (or paper), then teacher directly correct students' papers on paper in subjective item.Batch
After the completion of changing, is taken pictures by mobile device and be uploaded to server-side.
2. server-side can carry out relevant treatment (correct, extract, identification, cutting etc.) to picture, and carry out certainly to objective item
It is dynamic to correct, while identifying the score of correcting of subjective item, and subjective item is cut and is saved.
3. the performance of server-side meeting statistic operation, generating corresponding statistical information, (class and individual are correct
Rate, weak spot and knowledge point etc.), feed back to school, teacher, parents and students.
Embodiment one
Through the invention, teacher is corrected students' papers on line by computer or mobile phone, specifically includes the following steps:
1.1. it is right to generate its according to the unique ID of each student by printing and publishing education and guidance book or paper, format such as Fig. 3
The two dimensional code answered.
1.2. tutoring book or paper are provided to student, provides two dimensional code to student, student completes to answer, and puts up oneself two
Code is tieed up to above, and is submitted.
1.3. class representative collect after, using mobile device, successively take pictures upload answer as a result, each student answer result
As shown in Figure 4.
1.4. system is optimized and is extracted after receiving answer picture.
When student takes pictures, there is the case where paper is not ajusted mostly, and there is other jamming patterns, such as desktop
Deng such as Fig. 4 just needs to remove jamming pattern at this time and extracts target paper, the specific steps are as follows:
(1) edge detection
Gray processing is carried out to original image, the gray value formula of each point is Gray=0.299R+0.587G+0.114B, is carried out to image
Gaussian filtering, wherein Gaussian kernel are as follows:
The amplitude of brightness step and the convolution operator of direction brightness step detection in image is found to be expressed as follows:
Its x to, y to first-order partial derivative matrix, the mathematic(al) representation of gradient magnitude and gradient direction are as follows:
Following limb assists two available boundary curves of change of gradient threshold value of height by above step, such as Fig. 5 institute again
Show.
(2) target paper vertex is determined
Straight line is detected by Hough transformation, obtains the straight line formula y=k1x+b1, y=k2x+b2, y=k3x+b3 of at least 4 straight lines,
y=k4x+b4.The intersection point of straight line is calculated by linear function, effect is as shown in Figure 6.
(3) target paper is extracted
By the coordinate at four obtained angles, perspective variation is carried out to original image, so that it is as shown in Figure 7 to extract target paper.
1.5. calibrate and cut picture.It include alignment pattern and partition graph in first area 1, as calibration and segmentation
Area, as shown in Fig. 2, alignment pattern is vertical line, in an implementation, the patterns such as alignment pattern can also be square, rectangle, segmentation
Figure is black small rectangle, in an implementation, the patterns such as partition graph can also be square, rectangle.
Picture is calibrated according to the alignment pattern of first area 1, by region segmentation line, that small black surround carries out mould
Plate matching, template matching principle are as shown in Figure 8:
Assuming that we have the input picture of a 100x100, there is the template image of a 10x10, small box is the template of 10x10
Image, the process of lookup are as follows:
(1) start from the upper left corner of input picture (0,0), cut the intermediate images of one piece (0,0) to (10,10)；
(2) it is compared with intermediate images and template image, comparing result is denoted as c；
(3) comparing result c is exactly the pixel value at result images (0,0)；
(4) intermediate images of the cutting input picture from (0,1) to (10,11), comparison, and result images are recorded；
(5) (1)~(4) step is repeated until the lower right corner of input picture.
Using this black rectangle as template, original image is traversed line by line, from left to right, from top to bottom, as long as matching is similar
More than certain percentage, we are considered as being matched to degree, record the pixel coordinate point being each matched to, so, often
Between two black surround coordinate points is exactly the region of a problem, and the figure of corresponding part then can be extracted according to the two coordinates
Picture.
It is assured that the coordinate points of each segmentation figure by above step, the picture after calibration can thus be carried out
It cut, Fig. 9 is exactly the region for being cut to certain problem come.
By cutting and template matching above, bar code and student's two dimensional code can be positioned, and it is identified,
And then this paper is obtained in the specific data on backstage, for example topic list on this paper, and the correct option respectively inscribed etc. are believed
Breath；Then question number and the input of student are gone out according to the per pass item analysis of cutting, if it is multiple-choice question, is inscribed according to backstage is corresponding
Number correct option corrected automatically, for subjective items such as gap-filling questions, directly save cut figure result to correspondence topic with to
Teacher reads and makes comments.
1.6. the picture of cutting is taken out, identifies the information of second area 2, according to the bar code information of second area 2, judgement
Whether current image is first, if so, step 1.7 is jumped to, if it is not, then jumping to step 1.8.
Wherein, place is puted up comprising bar code and student's bar code in second area 2, as the information area.Bar code is to the page
Unique identification is made, wherein containing teaching material version, grade, volume number, unit and page number information；Student's the barcode size or text field is pasted
The bar code or two dimensional code of student contains the id and name information of student.
1.7. page number id and student id is generated.
1.8 identify question number from third region 3, generate question number index, identify answer result from the fourth region 4.According to
Page number id and question number index obtain topic id and type and judge whether current question is objective according to the topic id and type
Topic, if so, going to step 1.9, otherwise goes to step 1.10.Include question number information in third region 3, is indexed as question number
Area, comprising answer as a result, as answer fruiting area in the fourth region 4.Here objective item refers to can determine automatically to mistake on line
Topic, do not need that class topic, such as multiple-choice question, gap-filling questions, True-False for manually correcting etc. exactly；Subjective item is exactly to need people
That class topic that work is corrected, such as question-and-answer problem.
1.9. objective item is corrected automatically, goes to step 1.11.The correct option of objective item is stored in backstage, multiple-choice question can
To be corrected automatically according to the correct option of the corresponding question number in backstage.
1.10. judge whether current question has corrected, if so, going to step 1.11, otherwise go to step 1.12.If
Judging result be it is yes, then show that subjective item teacher corrects under warp；If judging result be it is no, show under subjective item teacher's line
It does not correct, it is also necessary to be corrected on line.
1.11. it generates result and saves answer screenshot, result data is distributed to the first user.Here the first user is
User with reception result data permission, including teacher, parents and students.
Here generation is the result is that generate two-part result: 1, the objective item that can be corrected automatically, such as multiple-choice question,
It identifies after student's answer it is determined that at this time we directly determine that saving student's topic to wrong and screenshot answers to wrong
Case, and statistical data is generated to the answer situation of student；2, to subjective item, such as question-and-answer problem, teacher comment is needed, then at this moment
Wait just in two steps: 1) teacher can be exactly that teacher first collects examination paper, correct on paper to correct under line, at every problem subsequent batch
Changing mark this topic to do in frame is pair that wrong or half is right, teacher changes the uploading pictures again that are over, and can at this time identify on line
Teacher's corrects as a result, generating correcting result and saving answer screenshot for the topic, and generate statistical number to the answer situation of student
According to；2) it is corrected under line non-for teacher, then carries out subsequent being distributed to corresponding teacher and carrying out the step of correcting on line.Here
Result data includes correcting result and statistical data, and correcting includes answer screenshot in result.Here statistical data includes class
With personal accuracy, completion rate, weak spot and knowledge point.
1.12. subjective item answer screenshot is saved, second user is distributed to and corrected on line, preservation is corrected as a result, and raw
At statistical data, result data is distributed to the first user.Here the first user is the use with reception result data permission
Family, including teacher, parents and students.Here second user is with the user for reading and making comments permission, including be responsible for correcting students' papers
Academics and students.Teacher can correct on line, be for example changed to that this topic does to or it is wrong, and can scribble on the diagram
Label etc., these scribbles all can be saved as result is corrected.Here result data includes correcting result and statistical number
According to correcting includes the answer screenshot marked of scribbling with teacher in result.Here statistical data includes that class and individual are correct
Rate, completion rate, weak spot and knowledge point.
System corrects objective item, the account of distribution subjective item to teacher automatically, and teacher has corrected master by mobile phone or computer
After sight topic, result is fed back to teacher, parents and students by system.Generate historical information, third with can check historical information per family,
Here third user is the user with query history information permission, including Bureau of Education, school, teacher, parent, student.Wherein,
It include correcting result and statistical data in historical information.
Embodiment two
Through the invention, teacher can directly correct students' papers on paper, specifically includes the following steps:
2.1. it is right to generate its according to the unique ID of each student by printing and publishing education and guidance book or paper, format such as Fig. 3
The two dimensional code answered.
2.2. tutoring book or paper are provided to student, provides two dimensional code to student, student completes to answer, and puts up oneself two
Code is tieed up to above, and is submitted.
2.3 teachers have directly corrected the subjective item in operation on paper, are taken pictures by mobile device and are uploaded to server-side.
2.4. system is optimized and is extracted after receiving answer picture.
When teacher takes pictures, there is the case where paper is not ajusted mostly, and there is other jamming patterns, such as desktop
Deng such as Fig. 4 just needs to remove jamming pattern at this time and extracts target paper, the specific steps are as follows:
(1) edge detection
Gray processing is carried out to original image, the gray value formula of each point is Gray=0.299R+0.587G+0.114B, is carried out to image
Gaussian filtering, wherein Gaussian kernel are as follows:
The amplitude of brightness step and the convolution operator of direction brightness step detection in image is found to be expressed as follows:
Its x to, y to first-order partial derivative matrix, the mathematic(al) representation of gradient magnitude and gradient direction are as follows:
Following limb assists two available boundary curves of change of gradient threshold value of height by above step, such as Fig. 5 institute again
Show.
(2) target paper vertex is determined
Straight line is detected by Hough transformation, obtains the straight line formula y=k1x+b1, y=k2x+b2, y=k3x+b3 of at least 4 straight lines,
y=k4x+b4.The intersection point of straight line is calculated by linear function, effect is as shown in Figure 6.
(3) target paper is extracted
By the coordinate at four obtained angles, perspective variation is carried out to original image, so that it is as shown in Figure 7 to extract target paper.
2.5. calibrate and cut picture.It include alignment pattern and partition graph in first area 1, as calibration and segmentation
Area, as shown in Fig. 2, alignment pattern is vertical line, in an implementation, the patterns such as alignment pattern can also be square, rectangle, segmentation
Figure is black small rectangle, in an implementation, the patterns such as partition graph can also be square, rectangle.
Picture is calibrated according to the alignment pattern of first area 1, by region segmentation line, that small black surround carries out mould
Plate matching area, template matching principle are as shown in Figure 8:
Assuming that we have the input picture of a 100x100, there is the template image of a 10x10, small box is the template of 10x10
Image, the process of lookup are as follows:
(1) start from the upper left corner of input picture (0,0), cut the intermediate images of one piece (0,0) to (10,10)；
(2) it is compared with intermediate images and template image, comparing result is denoted as c；
(3) comparing result c is exactly the pixel value at result images (0,0)；
(4) intermediate images of the cutting input picture from (0,1) to (10,11), comparison, and result images are recorded；
(5) (1)~(4) step is repeated until the lower right corner of input picture.
Using this black rectangle as template, original image is traversed line by line, from left to right, from top to bottom, as long as matching is similar
More than certain percentage, we are considered as being matched to degree, record the pixel coordinate point being each matched to, so, often
Between two black surround coordinate points is exactly the region of a problem, and the figure of corresponding part then can be extracted according to the two coordinates
Picture.
It is assured that the coordinate points of each segmentation figure by above step, the picture after calibration can thus be carried out
It cut, Fig. 9 is exactly the region for being cut to certain problem come.
By cutting above and template matching principle, we can position bar code and the identification of student's two dimensional code, into
And this paper is obtained in the specific data on backstage, for example topic list on this paper, and the correct option respectively inscribed etc. are believed
Breath；Then question number and the input of student are gone out according to the per pass item analysis of cutting, if it is multiple-choice question, is inscribed according to backstage is corresponding
Number correct option corrected automatically, for subjective items such as gap-filling questions, directly save cut figure result to correspondence topic with to
Teacher reads and makes comments.
2.6. the picture of cutting is taken out, identifies the information of second area 2, according to the bar code information of second area 2, judgement
Whether current image is first, if so, step 2.7 is jumped to, if it is not, then jumping to step 2.8.
Wherein, place is puted up comprising bar code and student's bar code in second area 2, as the information area.Bar code is to the page
Unique identification is made, wherein containing teaching material version, grade, volume number, unit and page number information；Student's the barcode size or text field is pasted
The bar code or two dimensional code of student contains the id and name information of student.
2.7. page number id and student id is generated.
2.8 identify question number from third region 3, generate question number index, identify answer result from the fourth region 4.According to
Page number id and question number index obtain topic id and type and judge whether current question is objective according to the topic id and type
Topic, if so, going to step 2.9, otherwise goes to step 2.10.It include question number information in third region, as question number index area,
Comprising answer as a result, as answer fruiting area in the fourth region 4.Here objective item, which refers to, can determine on line automatically to mistake
Topic, does not need that class topic, such as multiple-choice question, gap-filling questions, True-False for manually correcting etc. exactly；Subjective item is exactly to need people
That class topic that work is corrected, such as question-and-answer problem.
2.9. objective item is corrected automatically, goes to step 2.11.The correct option of objective item is stored in backstage, multiple-choice question can
To be corrected automatically according to the correct option of the corresponding question number in backstage.
2.10. judge whether current question has corrected, if so, going to step 2.11, otherwise go to step 2.12.If
Judging result be it is yes, then show that subjective item teacher corrects under warp；If judging result be it is no, show under subjective item teacher's line
It does not correct, it is also necessary to be corrected on line.
11. 2. result data is distributed to the first user generate result and save answer screenshot.Here the first user
For the user with reception result data permission, including teacher, parents and students.It wherein, include correcting result in result data
And statistical data.
Here generation is the result is that generate two-part result: 1, the objective item that can be corrected automatically, such as multiple-choice question,
It identifies after student's answer it is determined that at this time we directly determine that saving student's topic to wrong and screenshot answers to wrong
Case, and statistical data is generated to the answer situation of student；2, to subjective item, such as question-and-answer problem, teacher comment is needed, then at this moment
Wait just in two steps: 1) teacher can be exactly that teacher first collects examination paper, correct on paper to correct under line, at every problem subsequent batch
Changing mark this topic to do in frame is pair that wrong or half is right, teacher changes the uploading pictures again that are over, and can at this time identify on line
Teacher's corrects as a result, generating correcting result and saving answer screenshot for the topic, and generate statistical number to the answer situation of student
According to；2) it is corrected under line non-for teacher, then carries out subsequent being distributed to corresponding teacher and carrying out the step of correcting on line.Here
Result data includes correcting result and statistical data, and correcting includes answer screenshot in result.Here statistical data includes class
With personal accuracy, completion rate, weak spot and knowledge point.
2.12. subjective item answer screenshot is saved, second user is distributed to and corrected on line, preservation is corrected as a result, and raw
At statistical data, result data is distributed to the first user.Here the first user is the use with reception result data permission
Family, including teacher, parents and students.Here second user is with the user for reading and making comments permission, including be responsible for correcting students' papers
Academics and students.Teacher can correct on line, be for example changed to that this topic does to or it is wrong, and can scribble on the diagram
Label etc., these scribbles all can be saved as result is corrected.Here result data includes correcting result and statistical number
According to correcting includes the answer screenshot marked of scribbling with teacher in result.Here statistical data includes that class and individual are correct
Rate, completion rate, weak spot and knowledge point.
System corrects objective item automatically, subjective item teacher online under correct, save correcting for subjective item and objective item
As a result, and generate statistical data, result is fed back to teacher, parents and students by system.
Historical information is generated, third with that can check historical information per family, and third user is with query history information here
The user of permission, including Bureau of Education, school, teacher, parent, student.It wherein, include correcting result and statistical number in historical information
According to.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology all without departing from the spirit and scope of the present invention, carries out modifications and changes to above-described embodiment.Cause
This, institute is complete without departing from the spirit and technical ideas disclosed in the present invention by those of ordinary skill in the art such as
At all equivalent modifications or change, should be covered by claim of the invention.
Claims (8)
1. a kind of papery operation electronization reads and makes comments method, which is characterized in that the described method comprises the following steps:
Step 1, the first papery operation is shot, picture is generated, the picture is corrected and target job is extracted；
Step 2, the first information and the second information for identifying first area, proofread the picture, according to described according to the first information
Second information divides the picture；
Step 3, the picture after segmentation is taken out, identifies the third information and the 4th information of second area, according to third information, judgement
Whether the picture is first, if so, step 4 is jumped to, if it is not, then jumping to step 5；
Step 4, according to the third information and the 4th information, page number ID and student ID is generated；
Step 5, the 5th information for identifying third region generates question number index, identifies from the fourth region according to the 5th information
Answer result out；It is indexed according to the page number ID and the question number, obtains topic ID and type；According to the topic ID and class
Type judges whether the topic is objective item, if so, going to step 6, otherwise goes to step 7；
Step 6, objective item is corrected automatically；Go to step 8；
Step 7, judge whether the topic has been corrected, if so, going to step 8, otherwise go to step 9；
Step 8, it generates result and saves answer screenshot, result data is distributed to the first user；Historical information is generated, for third
User query；
Step 9, subjective item answer screenshot is saved, second user is distributed to and corrected on line, preservation is corrected as a result, and generating system
It counts, result data is distributed to the first user；Historical information is generated, for third user query.
2. papery operation electronization according to claim 1 reads and makes comments method, which is characterized in that the first information is calibration
Figure, second information are partition graph；The third information is the first bar code, and first bar code includes teaching material version
Sheet, grade, volume number, unit and page number information；4th information is second bar code or two dimensional code of student's the barcode size or text field,
Second bar code or two dimensional code include the ID and name information of student；5th information is topic number.
3. papery operation electronization according to claim 1 reads and makes comments method, which is characterized in that first user be with
The user of reception result data permission；The second user is with the user for reading and making comments permission；The third user is with looking into
Ask the user of historical information permission.
4. papery operation electronization according to claim 1 reads and makes comments method, which is characterized in that the statistical data includes class
Grade and personal accuracy, completion rate, weak spot and knowledge point.
5. papery operation electronization according to claim 1 reads and makes comments method, which is characterized in that the first papery operation
To correct the operation of the subjective item under the non-line of second user.
6. papery operation electronization according to claim 1 reads and makes comments method, which is characterized in that the first papery operation
To correct the operation of the subjective item under the second user line.
7. a kind of papery operation electronization reads and makes comments device, which is characterized in that described device includes:
Camera unit, for shooting papery operation at picture；
Objective extraction unit, for the picture is corrected and target job extract；
Recognition unit, for identification letter in the first area in the picture, second area, third region and the fourth region
Breath；
First judging unit, for judging whether the picture is first；
Second judgment unit, for judging whether topic is objective item；
Third judging unit, for judging whether the topic has been corrected；
Generation unit corrects result, statistical data and historical information for generating；
Transmission unit described corrects result and statistical data for sending；
Query unit, for inquiring the historical information.
8. a kind of mobile terminal, is provided with camera unit, which is characterized in that the mobile terminal, which is additionally provided with, reads and makes comments module, institute
It states and reads and makes comments module and include:
Objective extraction unit, the picture for shooting to the camera unit is corrected and target job is extracted；
Recognition unit, for identification letter in the first area in the picture, second area, third region and the fourth region
Breath；
First judging unit, for judging whether the picture is first；
Second judgment unit, for judging whether topic is objective item；
Third judging unit, for judging whether the topic has been corrected；
Generation unit corrects result, statistical data and historical information for generating；
Transmission unit described corrects result and statistical data for sending；
Query unit, for inquiring the historical information.
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| CN201710554243.3A CN109242856A (en) | 2017-07-10 | 2017-07-10 | A kind of papery operation electronization reads and makes comments method and device |
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| CN201710554243.3A CN109242856A (en) | 2017-07-10 | 2017-07-10 | A kind of papery operation electronization reads and makes comments method and device |
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| CN109242856A true CN109242856A (en) | 2019-01-18 |
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| CN201710554243.3A Pending CN109242856A (en) | 2017-07-10 | 2017-07-10 | A kind of papery operation electronization reads and makes comments method and device |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110110714A (en) * | 2019-04-28 | 2019-08-09 | 重庆学析优科技有限公司 | Method and system are corrected automatically on a kind of line of papery operation |
| CN110399048A (en) * | 2019-07-30 | 2019-11-01 | 南京乐教信息技术有限公司 | Work correction method, apparatus, equipment and medium |
| CN110569401A (en) * | 2019-07-26 | 2019-12-13 | 平安国际智慧城市科技股份有限公司 | paper marking method and device, computer equipment and storage medium |
| CN110765995A (en) * | 2019-10-11 | 2020-02-07 | 深圳市鹰硕技术有限公司 | Answer sheet generation method, answer sheet identification device and storage medium |
| CN111985189A (en) * | 2020-08-20 | 2020-11-24 | 朵镇山 | Modular note system suitable for deep learning and thinking and electronic conversion method |
| CN112308067A (en) * | 2020-10-27 | 2021-02-02 | 北京字节跳动网络技术有限公司 | Image processing method and device, electronic equipment and storage medium |
| CN113128469A (en) * | 2021-05-13 | 2021-07-16 | 北京一起教育科技有限责任公司 | Paper teaching text processing method and device and electronic equipment |
| CN113435347A (en) * | 2021-06-29 | 2021-09-24 | 重庆国翔创新教学设备有限公司 | Learning table for error checking of paper surface operation, using method, equipment and storage medium |
| CN113705157A (en) * | 2020-09-24 | 2021-11-26 | 广东昭阳信息技术有限公司 | Method for correcting paper work by photographing |
| CN115620332A (en) * | 2022-11-17 | 2023-01-17 | 北京十六进制科技有限公司 | Automatic reading and amending method and equipment based on paper operation |
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| CN110110714A (en) * | 2019-04-28 | 2019-08-09 | 重庆学析优科技有限公司 | Method and system are corrected automatically on a kind of line of papery operation |
| CN110569401A (en) * | 2019-07-26 | 2019-12-13 | 平安国际智慧城市科技股份有限公司 | paper marking method and device, computer equipment and storage medium |
| CN110399048B (en) * | 2019-07-30 | 2023-05-12 | 南京乐教信息技术有限公司 | Job correcting method, device, equipment and medium |
| CN110399048A (en) * | 2019-07-30 | 2019-11-01 | 南京乐教信息技术有限公司 | Work correction method, apparatus, equipment and medium |
| CN110765995A (en) * | 2019-10-11 | 2020-02-07 | 深圳市鹰硕技术有限公司 | Answer sheet generation method, answer sheet identification device and storage medium |
| CN111985189A (en) * | 2020-08-20 | 2020-11-24 | 朵镇山 | Modular note system suitable for deep learning and thinking and electronic conversion method |
| CN111985189B (en) * | 2020-08-20 | 2024-04-12 | 朵镇山 | Modularized note system and electronic conversion method suitable for deep learning and thinking |
| CN113705157A (en) * | 2020-09-24 | 2021-11-26 | 广东昭阳信息技术有限公司 | Method for correcting paper work by photographing |
| CN113705157B (en) * | 2020-09-24 | 2024-02-02 | 广东昭阳信息技术有限公司 | Photographing and modifying method for paper work |
| CN112308067A (en) * | 2020-10-27 | 2021-02-02 | 北京字节跳动网络技术有限公司 | Image processing method and device, electronic equipment and storage medium |
| CN113128469A (en) * | 2021-05-13 | 2021-07-16 | 北京一起教育科技有限责任公司 | Paper teaching text processing method and device and electronic equipment |
| CN113435347B (en) * | 2021-06-29 | 2023-10-17 | 重庆国翔创新教学设备有限公司 | Learning table for paper surface operation error checking, using method, equipment and storage medium |
| CN113435347A (en) * | 2021-06-29 | 2021-09-24 | 重庆国翔创新教学设备有限公司 | Learning table for error checking of paper surface operation, using method, equipment and storage medium |
| CN115620332B (en) * | 2022-11-17 | 2023-03-21 | 北京十六进制科技有限公司 | Automatic reading and amending method and equipment based on paper operation |
| CN115620332A (en) * | 2022-11-17 | 2023-01-17 | 北京十六进制科技有限公司 | Automatic reading and amending method and equipment based on paper operation |
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Application publication date: 20190118 |