CN107025456A - A kind of method of teacher comment vestige automatic identification - Google Patents
A kind of method of teacher comment vestige automatic identification Download PDFInfo
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- CN107025456A CN107025456A CN201710165332.9A CN201710165332A CN107025456A CN 107025456 A CN107025456 A CN 107025456A CN 201710165332 A CN201710165332 A CN 201710165332A CN 107025456 A CN107025456 A CN 107025456A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
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Abstract
A kind of method of teacher comment vestige automatic identification, is related to instructional technologyization more frontier, it is characterised in that:Comprise the following steps, goed over examination papers manually under line, scan paper, extract red correct person's handwriting, identification teacher comment person's handwriting in score value, achievement generation.The inventive method is reasonable, easy to use, work well.
Description
Technical field
The present invention relates to instructional technologyization more frontier, and in particular to a kind of method of teacher comment vestige automatic identification.
Background technology
One greatest drawback of existing network grading is exactly no vestige, and examinee is after examination is finished, and the test paper taken in hand is same
The striking resemblances submitted up before them, the vestige read and made comments without any teacher.Point for simply each section that examinee obtains
The fraction of several, each small topic of section, examinees are not aware that wheresoever oneself does wrong, with going over examination papers that digital watermarking form is presented
Vestige (i.e. trace on line) is although this defect can be made up, and teacher, which must log in go over examination papers on computers or on mobile phone, is
System is goed over examination papers, and does not meet the custom of going over examination papers that teacher usually corrects on papery test paper.
Existing have card to have trace to go over examination papers must to use special software development answering card, makees when examinee takes an examination on answering card
Answer, examination is finished, teacher is read and appraised on papery answering card, then must be given a mark in specified region.Although there is card to have
Trace meets the work habit of teacher usually, but the manufacturing process of answering card is more complicated, it is desirable to given a mark in specified region,
It must be responsible for by special messenger, considerably increase the spending of personnel and the workload of communication.
The content of the invention
The technical problems to be solved by the invention be to overcome existing technological deficiency provide a kind of method rationally, user
Just a kind of method of the teacher comment vestige automatic identification, worked well.
The technical problems to be solved by the invention are realized using following technical scheme:
A kind of method of teacher comment vestige automatic identification, it is characterised in that:Comprise the following steps,
Step 1: being goed over examination papers manually under line:After examinee is finishing examination and handed in an examination paper, goed over examination papers manually under teacher is online, use beauty
Coloured pencil is annotated;
Step 2: scanning paper:After teacher gos over examination papers manually, examination question is rolled up into numeral by chromoscan by scanning device
Image, and it is uploaded to central server of going over examination papers;
Step 3: extracting red corrects person's handwriting:Use Digital Image Processing and artificial intelligence technology batch hand-written to teacher
Change content to be extracted, filter out unwanted person's handwriting and printing type face, leave the red person's handwriting that the teacher of needs reads and makes comments, finally
Formed and extract the scoring image after red person's handwriting;
Step 4: the score value in identification teacher comment person's handwriting:Using convolutional neural networks (CNN) machine learning method, from
Precise positioning is carried out to the region of reading and appraising of teacher in the scoring image of generation in step 3, the numeral sold and changed in person's handwriting is recognized
Score value;
Step 5: achievement is generated:Achievement of the examinee per subject includes subjective item achievement and objective item achievement.Objective item into
Achievement is by being compared generation with model answer after Computer Automatic Recognition paint point;As long as the generation of subjective item achievement has two kinds
Situation:The first situation is exactly generation of being goed over examination papers on teacher's line, and second of situation is exactly above by being corrected under teacher's line, then to enter
Extract and recognize on line.Objective item achievement be added with subjective item achievement be exactly the subject overall scores.
Beneficial effects of the present invention are:1) the existing custom of going over examination papers of teacher is not changed, without complicated operation and specialty
Training, easy left-hand seat;
2) examinee finishes examination both wired lower papery examination question for having trace is rolled up, but it is wired on the water that marks of the digitlization for having trace
The wrong answer list that watermark image and printing are bound into book form;
3) teacher can understand grasp situation of each examinee to knowledge point in real time by reading and making comments under line.
Brief description of the drawings
Fig. 1 is convolutional neural networks (CNN) machine learning method of the invention.
Embodiment
In order that the technical means, the inventive features, the objects and the advantages of the present invention are easy to understand, enter below
One step illustrates the present invention.
As shown in figure 1, a kind of method of teacher comment vestige automatic identification, it is characterised in that:Comprise the following steps,
Step 1: being goed over examination papers manually under line:After examinee is finishing examination and handed in an examination paper, goed over examination papers manually under teacher is online, with red
Than being annotated;
Step 2: scanning paper:After teacher gos over examination papers manually, examination question is rolled up into numeral by chromoscan by scanning device
Image, and it is uploaded to central server of going over examination papers;
Step 3: extracting red corrects person's handwriting:Use Digital Image Processing and artificial intelligence technology batch hand-written to teacher
Change content to be extracted, filter out unwanted person's handwriting and printing type face, leave the red person's handwriting that the teacher of needs reads and makes comments, finally
Formed and extract the scoring image after red person's handwriting;
Step 4: the score value in identification teacher comment person's handwriting:Using convolutional neural networks (CNN) machine learning method, from
Precise positioning is carried out to the region of reading and appraising of teacher in the scoring image of generation in step 3, the numeral sold and changed in person's handwriting is recognized
Score value;
Step 5: achievement is generated:Achievement of the examinee per subject includes subjective item achievement and objective item achievement.Objective item into
Achievement is by being compared generation with model answer after Computer Automatic Recognition paint point;As long as the generation of subjective item achievement has two kinds
Situation:The first situation is exactly generation of being goed over examination papers on teacher's line, and second of situation is exactly above by being corrected under teacher's line, then to enter
Extract and recognize on line.Objective item achievement be added with subjective item achievement be exactly the subject overall scores.
The general principle and principal character and advantages of the present invention of the present invention has been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the simply explanation described in above-described embodiment and specification is originally
The principle of invention, without departing from the spirit and scope of the present invention, various changes and modifications of the present invention are possible, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (1)
1. a kind of method of teacher comment vestige automatic identification, it is characterised in that:Comprise the following steps,
Step 1: being goed over examination papers manually under line:After examinee is finishing examination and handed in an examination paper, goed over examination papers manually under teacher is online, use beauty's coloured pencil
Annotated;
Step 2: scanning paper:After teacher gos over examination papers manually, examination question is rolled up into digitized map by chromoscan by scanning device
Picture, and it is uploaded to central server of going over examination papers;
Step 3: extracting red corrects person's handwriting:Using Digital Image Processing and artificial intelligence technology it is hand-written to teacher correct in
Appearance is extracted, and is filtered out unwanted person's handwriting and printing type face, is left the red person's handwriting that the teacher of needs reads and makes comments, eventually form
Extract the scoring image after red person's handwriting;
Step 4: the score value in identification teacher comment person's handwriting:Using convolutional neural networks (CNN) machine learning method, from step
Precise positioning is carried out to the region of reading and appraising of teacher in the scoring image of generation in three, the numeral point sold and changed in person's handwriting is recognized
Value;
Step 5: achievement is generated:Achievement of the examinee per subject includes subjective item achievement and objective item achievement.Objective item achievement is
By being compared generation with model answer after Computer Automatic Recognition paint point;As long as the generation of subjective item achievement has two kinds of feelings
Condition:The first situation is exactly generation of being goed over examination papers on teacher's line, and second of situation is exactly above by being corrected under teacher's line, then to carry out
Person's handwriting and identification are extracted on line.Objective item achievement be added with subjective item achievement be exactly the subject overall scores.
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CN107506762A (en) * | 2017-09-01 | 2017-12-22 | 昆山中骏博研互联网科技有限公司 | A kind of achievement method for automatically inputting based on graphical analysis |
CN107506746A (en) * | 2017-09-08 | 2017-12-22 | 电子科技大学中山学院 | Locating point-free image identification method and system for intelligent marking system |
CN107832758A (en) * | 2017-11-06 | 2018-03-23 | 泉州市雄蓝教育科技有限公司 | The examination system of intelligence generation answering card and server terminal Automated Assessment |
CN107909066A (en) * | 2017-11-06 | 2018-04-13 | 泉州市雄蓝教育科技有限公司 | A kind of the automatic of mobile terminal system reads card methods of marking |
CN107909067A (en) * | 2017-11-06 | 2018-04-13 | 泉州市雄蓝教育科技有限公司 | The examination system of intelligence generation answering card and mobile terminal Automated Assessment |
CN109241869A (en) * | 2018-08-16 | 2019-01-18 | 邯郸职业技术学院 | The recognition methods of answering card score, device and terminal device |
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CN110826872A (en) * | 2019-10-23 | 2020-02-21 | 深圳中兴网信科技有限公司 | Method, system and device for generating examination result analysis report |
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CN111639630A (en) * | 2020-06-23 | 2020-09-08 | 北京字节跳动网络技术有限公司 | Operation correcting method and device |
CN111754448A (en) * | 2019-03-27 | 2020-10-09 | 李超 | Method and device for collecting operation test paper information based on image collection and analysis |
CN111768170A (en) * | 2020-06-23 | 2020-10-13 | 北京字节跳动网络技术有限公司 | Method and device for displaying operation correction result |
CN112183143A (en) * | 2020-10-30 | 2021-01-05 | 北京北师智慧科技有限公司 | Reading and amending method and teaching system |
CN113688838A (en) * | 2021-10-25 | 2021-11-23 | 江西软云科技股份有限公司 | Red handwriting extraction method and system, readable storage medium and computer equipment |
CN114299523A (en) * | 2021-11-18 | 2022-04-08 | 珠海读书郎软件科技有限公司 | Auxiliary operation identification and correction analysis method and analysis system |
WO2022150042A1 (en) * | 2021-01-08 | 2022-07-14 | Hewlett-Packard Development Company, L.P. | Feature extractions to optimize scanned images |
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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CN107506762A (en) * | 2017-09-01 | 2017-12-22 | 昆山中骏博研互联网科技有限公司 | A kind of achievement method for automatically inputting based on graphical analysis |
CN107506746A (en) * | 2017-09-08 | 2017-12-22 | 电子科技大学中山学院 | Locating point-free image identification method and system for intelligent marking system |
CN107832758A (en) * | 2017-11-06 | 2018-03-23 | 泉州市雄蓝教育科技有限公司 | The examination system of intelligence generation answering card and server terminal Automated Assessment |
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CN107909067A (en) * | 2017-11-06 | 2018-04-13 | 泉州市雄蓝教育科技有限公司 | The examination system of intelligence generation answering card and mobile terminal Automated Assessment |
CN109241869A (en) * | 2018-08-16 | 2019-01-18 | 邯郸职业技术学院 | The recognition methods of answering card score, device and terminal device |
CN109284702B (en) * | 2018-09-07 | 2021-06-25 | 江苏曲速教育科技有限公司 | Answer sheet scoring and marking system based on image mode |
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CN111754448A (en) * | 2019-03-27 | 2020-10-09 | 李超 | Method and device for collecting operation test paper information based on image collection and analysis |
CN110826872A (en) * | 2019-10-23 | 2020-02-21 | 深圳中兴网信科技有限公司 | Method, system and device for generating examination result analysis report |
CN111191592A (en) * | 2019-12-30 | 2020-05-22 | 武汉烽火技术服务有限公司 | Automatic processing system for traceable test paper |
CN111639630A (en) * | 2020-06-23 | 2020-09-08 | 北京字节跳动网络技术有限公司 | Operation correcting method and device |
CN111768170A (en) * | 2020-06-23 | 2020-10-13 | 北京字节跳动网络技术有限公司 | Method and device for displaying operation correction result |
CN112183143A (en) * | 2020-10-30 | 2021-01-05 | 北京北师智慧科技有限公司 | Reading and amending method and teaching system |
WO2022150042A1 (en) * | 2021-01-08 | 2022-07-14 | Hewlett-Packard Development Company, L.P. | Feature extractions to optimize scanned images |
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CN113688838A (en) * | 2021-10-25 | 2021-11-23 | 江西软云科技股份有限公司 | Red handwriting extraction method and system, readable storage medium and computer equipment |
CN113688838B (en) * | 2021-10-25 | 2022-03-22 | 江西软云科技股份有限公司 | Red handwriting extraction method and system, readable storage medium and computer equipment |
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