CN110222678A - A kind of item analysis method, system, readable storage medium storing program for executing and electronic equipment - Google Patents
A kind of item analysis method, system, readable storage medium storing program for executing and electronic equipment Download PDFInfo
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Abstract
The invention discloses a kind of item analysis methods, comprising the following steps: is parsed according to several topic informations and topic, establishes exam pool;When obtaining scan instruction, the topic and the corresponding topic corrected information, correct that information is " mistake " described in capture in specified region are scanned, wrong topic is obtained;Text region is executed to the wrong topic, obtains wrong topic information;The wrong topic information is compared with the topic information in the exam pool, takes several similarities to be higher than the topic information of first threshold and shows, and show the corresponding topic parsing for the highest topic information of similarity.The present invention can individually list the topic parsing of wrong topic, can also realize the deficiency of pointedly instruction of papil for the wrong topic selection higher topic of other similarities for student's strengthened exercises.The invention also discloses a kind of item analysis system, readable storage medium storing program for executing and electronic equipments using the above method.
Description
Technical field
The present invention relates to intellectual education technical fields, more particularly to a kind of item analysis method, system, readable storage medium
Matter and electronic equipment.
Background technique
Present electronic product is more more and more universal, and with smart terminal product, such as mobile phone and tablet computer camera function will be difficult
The method for being filmed and seeking Net-answer is inscribed to be widely used
Currently, most of electronic learning product all shoots topic by camera, image obtained will be shot using figure
Picture character recognition technology (OCR) is identified, is converted to passage, is searched for topic in network examination paper bank by this section of text
Parsing, to eliminate student or teacher goes the cumbersome of inspection information.
Although the prior art is able to achieve the parsing that shooting topic obtains topic, when topic is more, after teacher comment
A operation or paper although existing electronic learning product can successively shoot all topics can feed back mistake
All topics parsing other than topic, will not additionally give student's strengthened exercises, can not pointedly instruction of papil deficiency.
Summary of the invention
An object of the present invention is to provide it is a kind of can pointedly instruction of papil insufficient item analysis method.
A kind of item analysis method, comprising the following steps:
It is parsed according to several topic informations and topic, establishes exam pool;
When obtaining scan instruction, scan specified region topic and it is corresponding correct information, correct information described in capture
For the topic of " mistake ", wrong topic is obtained;
Text region is executed to the wrong topic, obtains wrong topic information;
The wrong topic information is compared with the topic information in the exam pool, several similarities is taken to be higher than first
The topic information of threshold value is simultaneously shown, and shows the corresponding topic parsing for the highest topic information of similarity.
The item analysis method proposed according to the present invention can individually list wrong topic after successively scanning whole topics
Topic parsing can also realize and pointedly refer to for the wrong topic selection higher topic of other similarities for student's strengthened exercises
Lead the deficiency of student.
In addition, the item analysis method provided according to the present invention, can also have the following additional technical features:
Further, before described the step of being parsed according to several topic informations and topic, establishing exam pool further include:
Identification information is generated according to the identity information of several designated users, establishes user information database;
When obtaining scan instruction, the identification information is captured, and the identification is obtained according to the user information database and is believed
Cease the corresponding identity information.
Further, described the step of being parsed according to several topic informations and topic, establishing exam pool, includes:
In the user information database, the identification information is divided by several groupings according to the identity information;
Using the grouping as foundation, the topic information and topic are divided into multiple grades, establish multiple institutes respectively
State exam pool;
After the identity information described in the scanning recognition, selection executes the exam pool of corresponding grade.
Further, the topic for scanning specified region and corresponding the step of correcting information, include:
Preset standard topic color analyzes all colours in the specified region;
The region having differences with the standard topic color is captured, the figure in the region is as described to correct information.
Further, the topic that information is " mistake " is corrected described in the capture, obtaining the step of mistake is inscribed includes:
Preset standard mistake corrects information, and it includes that standard correctly corrects information and standard mistake that the standard error, which corrects information,
Accidentally correct information;
Information is corrected and the standard error is corrected information and compared by image recognition for described, is taken and the standard
Mistake corrects information similarity and corrects information greater than the described of second threshold, judges it for " mistake ", the corresponding topic is
For mistake topic.
Further, the step of topic that information is " mistake " is corrected described in the capture, obtains wrong topic further include:
It takes and correctly corrects information similarity greater than information is corrected described in second threshold with the standard, judge that it is
" to " obtains the quantity that the wrong topic and described pair of topic are counted to topic;
After scanned to all topics to be scanned, input the total quantity of the topic to be scanned, when the wrong topic and
When the sum of described pair of topic is less than the total quantity, user is reminded to check.
Further, described to compare the wrong topic information with the topic information in the exam pool, it takes several
Similarity is higher than the topic information of first threshold and includes: the step of display
It is default that all topics are divided into several examination points, if the topic in the exam pool is divided into according to the examination point
Dry crosshead library;
The wrong topic information is compared with all topic informations in the exam pool, similarity is taken to be higher than first threshold
The topic information, obtain the corresponding crosshead library, several topic informations selected from the crosshead library and are shown.
A kind of item analysis system, using above-mentioned item analysis method, comprising:
Exam pool module, for storing all topic information and topic parsing;
Scan module, for scan specified region topic and it is corresponding correct information, and by the topic and described batch
It converts to breath and is converted into image;
Text region module, for being identified to described image;
Contrast module, the information for identifying the Text region module are compared with the topic information, are obtained
Similarity is simultaneously selected the topic information of several similarities higher than first threshold and is shown.
A kind of readable storage medium storing program for executing, is stored thereon with computer instruction, which realizes above-mentioned when being executed by processor
Item analysis method.
A kind of electronic equipment can be run on a memory and on a processor including memory, processor and storage
Computer program, the processor realize above-mentioned item analysis method when executing described program.
Beneficial effects of the present invention include at least:
(1) the topic parsing of wrong topic can be individually listed, it can also be for the wrong topic selection higher topic of other similarities for learning
Raw strengthened exercises, realize the deficiency of pointedly instruction of papil;
(2) it is grouped according to the identity information of user, establishes multiple exam pools, such as an exam pool and second grade exam pool,
Ensure that user's topic parsing obtained meets the degree of awareness of user with the topic information of strengthened exercises;
(3) when teacher is when reading and making comments, and the label of more than two " to " and " mistake " for leaving is separated by relatively close or coincidence,
System can be made to fail to judge, can notify user by statistical counting at this time;
(4) exam pool is divided according to examination point, further the deficiency of user pointedly can be selected for strengthened exercises
Topic information.
Additional aspect and advantage of the invention will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect of the invention and advantage will become from the description of the embodiment in conjunction with the following figures
Obviously and it is readily appreciated that, in which:
Fig. 1 is the flow diagram of the item analysis method of first embodiment of the invention;
Fig. 2 is the flow diagram of the item analysis method of second embodiment of the invention;
Fig. 3 is the structural block diagram of the item analysis system of third embodiment of the invention.
Specific embodiment
To keep objects, features and advantages of the present invention more obvious and easy to understand, with reference to the accompanying drawing to tool of the invention
Body embodiment is described in detail.Several embodiments of the invention are given in attached drawing.But the present invention can be with many not
With form realize, however it is not limited to embodiment described herein.On the contrary, purpose of providing these embodiments is makes to this
The disclosure of invention is more thorough and comprehensive.
Referring to Fig. 1, the first embodiment of the present invention proposes a kind of item analysis method, including step S1~S4.
In the present embodiment, user refers to student, in correcting information, the image of " to " corresponding hook, and " mistake " corresponding fork
The image of shape.
S1. it is parsed according to several topic informations and topic, establishes exam pool.
It is to be understood that all topic informations that can be searched according to network or textbook and the parsing of corresponding topic are built
A big exam pool is found, user can obtain the parsing of corresponding topic from the exam pool.
S2. when obtaining scan instruction, scan specified region topic and it is corresponding correct information, correct letter described in capture
Breath is the topic of " mistake ", obtains wrong topic.
Specifically, the topic for scanning specified region and corresponding the step of correcting information, include:
Preset standard topic color analyzes all colours in the specified region;
The region having differences with the standard topic color is captured, the figure in the region is as described to correct information.
In the present embodiment, preset standard topic color is black.
It is understood that can capture the color in image using image recognition technology, teacher is in the operation for correcting student
Or red pen is generally used when paper, that is, correcting information is mostly red, and preset color is black, and there are significant differences.
When judging to have red in image, red image can be individually extracted, realize topic and corrects information and divides, prevents from inscribing
Purpose image contributions correct the image of information, improve the precision of judgement.
In addition, the step of correcting the topic that information is " mistake " described in the capture, obtaining wrong topic includes:
Preset standard mistake corrects information, and it includes that standard correctly corrects information and standard mistake that the standard error, which corrects information,
Accidentally correct information;
Information is corrected and the standard error is corrected information and compared by image recognition for described, is taken and the standard
Mistake corrects information similarity and corrects information greater than the described of second threshold, judges it for " mistake ", the corresponding topic is
For mistake topic.
In the present embodiment, second threshold 80%, user can also select according to the actual situation.
It is understood that it is fixed hook image that standard, which correctly corrects information, standard error corrects information to fix
Forked image, there is apparent difference in the two, the red image and standard error that selective extraction goes out in comparison correct information
It compares, calculates the registration of the two, i.e. similarity, when similarity is greater than second threshold, that is, judge that this is corrected information and is
" mistake ", the topic positioned at same designated area are wrong topic.
Preferably, the step of topic that information is " mistake " is corrected described in the capture, obtains wrong topic further include:
It takes and correctly corrects information similarity greater than information is corrected described in second threshold with the standard, judge that it is
" to " obtains the quantity that the wrong topic and described pair of topic are counted to topic;
After scanned to all topics to be scanned, input the total quantity of the topic to be scanned, when the wrong topic and
When the sum of described pair of topic is less than the total quantity, user is reminded to check.
It should be pointed out that counting to acquired wrong topic and to topic, when the sum of its quantity is less than operation or paper
Topic sum when, then illustrate this partial region scanning it is wrong, user need to be reminded to check.
S3. Text region is executed to the wrong topic, obtains wrong topic information.
Text region is carried out it should be noted that inscribing after obtaining wrong topic to mistake, the present embodiment uses OCR Text region skill
Art obtains the wrong topic information of electronic edition text formatting, compares convenient for subsequent execution.
S4. the wrong topic information is compared with the topic information in the exam pool, several similarities is taken to be higher than
The topic information of first threshold is simultaneously shown, and shows the corresponding topic solution for the highest topic information of similarity
Analysis.
In the present embodiment, first threshold 85%.
Specifically, described compare the wrong topic information with the topic information in the exam pool, several phases are taken
It is higher than the topic information of first threshold like degree and includes: the step of display
It is default that all topics are divided into several examination points, if the topic in the exam pool is divided into according to the examination point
Dry crosshead library;
The wrong topic information is compared with all topic informations in the exam pool, similarity is taken to be higher than first threshold
The topic information, obtain the corresponding crosshead library, several topic informations selected from the crosshead library and are shown.
Even if it is understood that the literal expression of topic is similar in many cases, but its examination point differs larger,
Exam pool is divided into multiple crosshead libraries according to examination point in advance in the present embodiment, in the higher topic information of selection similarity, meeting
Topic in the preferential crosshead library for selecting corresponding examination point, makes the more excellent specific aim of selected topic information.
It is an advantage of the present invention that can individually list the topic parsing of wrong topic after successively scanning whole topics, can also
The selection higher topic of other similarities is inscribed for student's strengthened exercises for mistake, realizes the deficiency of pointedly instruction of papil.
Referring to Fig. 2, the second embodiment of the present invention proposes a kind of item analysis method, the present embodiment and first embodiment
Almost the same, difference exists, and the present embodiment replaces step S1 for step S1 '.
The specific steps of step S1 ' include:
Identification information is generated according to the identity information of several designated users, establishes user information database;
When obtaining scan instruction, the identification information is captured, and the identification is obtained according to the user information database and is believed
Cease the corresponding identity information;
In the user information database, the identification information is divided by several groupings according to the identity information;
Using the grouping as foundation, the topic information and topic are divided into multiple grades, establish multiple institutes respectively
State exam pool;
After the identity information described in the scanning recognition, selection executes the exam pool of corresponding grade.
It should be noted that topic is although identical, but analytic method is but not quite similar, because each study stage is grasped
Knowledge point it is different, for example seven grades and grade eight treat same problem mode and can have larger difference or even seven grades
Life can not understand the solution approach of grade eight, it is therefore necessary to hierarchically select corresponding topic according to the identity information of student
Library.
Referring to Fig. 3, the third embodiment of the present invention proposes a kind of item analysis system, using the topic of second embodiment
Analysis method, comprising:
Exam pool module, for storing all topic information and topic parsing;
Scan module, for scan specified region topic and it is corresponding correct information, and by the topic and described batch
It converts to breath and is converted into image;
Text region module, for being identified to described image;
Contrast module, the information for identifying the Text region module are compared with the topic information, are obtained
Similarity is simultaneously selected the topic information of several similarities higher than first threshold and is shown.
It is understood that cooperating Text region module that can identify topic by scan module and correcting information, and obtain
Mistake topic can obtain the parsing about mistake topic using exam pool module, and obtain with similar other topics of mistake topic, for user into
Row strengthened exercises.
Specifically, scan module also packet color capture unit inscribes mistake convenient for subsequent for capturing red hook and fork
Judgement.
The fourth embodiment of the present invention proposes a kind of readable storage medium storing program for executing, is stored thereon with computer instruction, the instruction quilt
Processor realizes above-mentioned item analysis method when executing.
The fourth embodiment of the present invention proposes a kind of electronic equipment, including memory, processor and is stored in memory
Computer program that is upper and can running on a processor, the processor realize above-mentioned item analysis side when executing described program
Method.The electronic equipment can be mobile phone, tablet computer or other any electronic products with scanning function.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (10)
1. a kind of item analysis method, which comprises the following steps:
It is parsed according to several topic informations and topic, establishes exam pool;
When obtaining scan instruction, scan specified region topic and it is corresponding correct information, correcting information described in capture is
The topic of " mistake " obtains wrong topic;
Text region is executed to the wrong topic, obtains wrong topic information;
The wrong topic information is compared with the topic information in the exam pool, several similarities is taken to be higher than first threshold
The topic information and show, and show that the corresponding topic parses for the similarity highest topic information.
2. item analysis method according to claim 1, which is characterized in that described according to several topic informations and topic solution
Before the step of analysing, establishing exam pool further include:
Identification information is generated according to the identity information of several designated users, establishes user information database;
When obtaining scan instruction, the identification information is captured, and the identification information pair is obtained according to the user information database
The identity information answered.
3. item analysis method according to claim 2, which is characterized in that described according to several topic informations and topic solution
Analysis, the step of establishing exam pool include:
In the user information database, the identification information is divided by several groupings according to the identity information;
Using the grouping as foundation, the topic information and topic are divided into multiple grades, establish multiple topics respectively
Library;
After the identity information described in the scanning recognition, selection executes the exam pool of corresponding grade.
4. item analysis method according to claim 1, which is characterized in that the topic and correspondence for scanning specified region
Include: the step of correcting information
Preset standard topic color analyzes all colours in the specified region;
The region having differences with the standard topic color is captured, the figure in the region is as described to correct information.
5. item analysis method according to claim 1, which is characterized in that correcting information described in the capture is " mistake "
The topic, obtaining the step of mistake is inscribed includes:
Preset standard mistake corrects information, and it includes that standard correctly corrects information and standard error batch that the standard error, which corrects information,
Convert to breath;
Information is corrected and the standard error is corrected information and compared by image recognition for described, is taken and the standard error
It corrects information similarity and corrects information greater than the described of second threshold, judge it for " mistake ", the corresponding topic is mistake
Topic.
6. item analysis method according to claim 5, which is characterized in that correcting information described in the capture is " mistake "
The topic obtains wrong the step of inscribing further include:
It takes and correctly corrects information similarity greater than information is corrected described in second threshold with the standard, judge that it, for " to ", is obtained
It obtains to topic, counts the wrong topic and the described pair of quantity inscribed;
After scanned to all topics to be scanned, the total quantity of the topic to be scanned is inputted, when the wrong topic and described
When being less than the total quantity to the sum of topic, user is reminded to check.
7. item analysis method according to claim 1, which is characterized in that described by the wrong topic information and the exam pool
In the topic information compare, take several similarities to be higher than the topic information of first threshold and packet the step of show
It includes:
It is default that all topics are divided into several examination points, the topic in the exam pool is divided into several sons according to the examination point
Exam pool;
The wrong topic information is compared with all topic informations in the exam pool, similarity is taken to be higher than the institute of first threshold
Topic information is stated, the corresponding crosshead library is obtained, several topic informations is selected from the crosshead library and are shown.
8. a kind of item analysis system, which is characterized in that using item analysis method described in claim 1~7 any one,
Include:
Exam pool module, for storing all topic information and topic parsing;
Scan module, for scan specified region topic and it is corresponding correct information, and by the topic and described correct letter
Breath is converted into image;
Text region module, for being identified to described image;
Contrast module, the information for identifying the Text region module are compared with the topic information, are obtained similar
It spends and selects the topic information of several similarities higher than first threshold and show.
9. a kind of readable storage medium storing program for executing, is stored thereon with computer instruction, which is characterized in that real when the instruction is executed by processor
Item analysis method described in existing claim 1 to 7 any one.
10. a kind of electronic equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor is realized as claimed in any one of claims 1 to 7 when executing described program
Item analysis method.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111753767A (en) * | 2020-06-29 | 2020-10-09 | 广东小天才科技有限公司 | Method and device for automatically correcting operation, electronic equipment and storage medium |
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Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101477755A (en) * | 2009-01-06 | 2009-07-08 | 陈诗周 | Error problem database system for student |
CN103886302A (en) * | 2014-03-28 | 2014-06-25 | 上海携培信息科技有限公司 | Test paper identification analysis achievement method and device |
CN105095892A (en) * | 2014-05-16 | 2015-11-25 | 上海市上海中学 | Student document management system based on image processing |
CN105224665A (en) * | 2015-09-30 | 2016-01-06 | 广东小天才科技有限公司 | A kind of wrong topic management method and system |
WO2016179938A1 (en) * | 2015-05-14 | 2016-11-17 | 百度在线网络技术(北京)有限公司 | Method and device for question recommendation |
CN106227809A (en) * | 2016-07-22 | 2016-12-14 | 广东小天才科技有限公司 | The method for pushing of a kind of examination question and device |
WO2017124343A1 (en) * | 2016-01-20 | 2017-07-27 | 吴晓敏 | Method for pushing information during sorting-out of knowledge points, and learning system |
CN107016022A (en) * | 2016-11-14 | 2017-08-04 | 上海仪电鑫森科技发展有限公司 | Teaching difficulty big data analysis system |
CN109146740A (en) * | 2018-09-07 | 2019-01-04 | 江苏曲速教育科技有限公司 | A kind of dynamic answer sheet template system based on intelligently reading |
CN109472014A (en) * | 2018-10-30 | 2019-03-15 | 南京红松信息技术有限公司 | A kind of wrong topic collection automatic identification generation method and its device |
CN109637238A (en) * | 2018-11-05 | 2019-04-16 | 广东共升教育科技有限公司 | A kind of generation method of exercise, device, equipment and storage medium |
-
2019
- 2019-04-30 CN CN201910364116.6A patent/CN110222678B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101477755A (en) * | 2009-01-06 | 2009-07-08 | 陈诗周 | Error problem database system for student |
CN103886302A (en) * | 2014-03-28 | 2014-06-25 | 上海携培信息科技有限公司 | Test paper identification analysis achievement method and device |
CN105095892A (en) * | 2014-05-16 | 2015-11-25 | 上海市上海中学 | Student document management system based on image processing |
WO2016179938A1 (en) * | 2015-05-14 | 2016-11-17 | 百度在线网络技术(北京)有限公司 | Method and device for question recommendation |
CN105224665A (en) * | 2015-09-30 | 2016-01-06 | 广东小天才科技有限公司 | A kind of wrong topic management method and system |
WO2017124343A1 (en) * | 2016-01-20 | 2017-07-27 | 吴晓敏 | Method for pushing information during sorting-out of knowledge points, and learning system |
CN106227809A (en) * | 2016-07-22 | 2016-12-14 | 广东小天才科技有限公司 | The method for pushing of a kind of examination question and device |
CN107016022A (en) * | 2016-11-14 | 2017-08-04 | 上海仪电鑫森科技发展有限公司 | Teaching difficulty big data analysis system |
CN109146740A (en) * | 2018-09-07 | 2019-01-04 | 江苏曲速教育科技有限公司 | A kind of dynamic answer sheet template system based on intelligently reading |
CN109472014A (en) * | 2018-10-30 | 2019-03-15 | 南京红松信息技术有限公司 | A kind of wrong topic collection automatic identification generation method and its device |
CN109637238A (en) * | 2018-11-05 | 2019-04-16 | 广东共升教育科技有限公司 | A kind of generation method of exercise, device, equipment and storage medium |
Non-Patent Citations (2)
Title |
---|
ROGER T. HARTLEY 等: "Quality of OCR for Degraded Text Images", 《ARXIV》 * |
李静: "科大讯飞的AI错题本", 《人民周刊》 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112699337A (en) * | 2019-10-22 | 2021-04-23 | 北京易真学思教育科技有限公司 | Equation correction method, electronic device and computer storage medium |
CN111753767A (en) * | 2020-06-29 | 2020-10-09 | 广东小天才科技有限公司 | Method and device for automatically correcting operation, electronic equipment and storage medium |
CN111753767B (en) * | 2020-06-29 | 2024-06-21 | 广东小天才科技有限公司 | Method and device for automatically correcting operation, electronic equipment and storage medium |
CN111898343A (en) * | 2020-08-03 | 2020-11-06 | 北京师范大学 | Similar topic identification method and system based on phrase structure tree |
CN112231028A (en) * | 2020-10-12 | 2021-01-15 | 武汉智云优鸿科技有限公司 | Wrong question analysis learning method, device, terminal and medium |
CN113159029A (en) * | 2020-12-18 | 2021-07-23 | 深圳简捷电子科技有限公司 | Method and system for accurately capturing local information in picture |
CN113159030A (en) * | 2020-12-18 | 2021-07-23 | 深圳简捷电子科技有限公司 | Wrong question printing system |
CN113851021A (en) * | 2021-09-18 | 2021-12-28 | 读书郎教育科技有限公司 | Wrong-answer-book-based recommended learning system and method |
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