CN105184232A - O2O Internet homework book, O2O Internet homework book system and realization method - Google Patents
O2O Internet homework book, O2O Internet homework book system and realization method Download PDFInfo
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- CN105184232A CN105184232A CN201510512751.6A CN201510512751A CN105184232A CN 105184232 A CN105184232 A CN 105184232A CN 201510512751 A CN201510512751 A CN 201510512751A CN 105184232 A CN105184232 A CN 105184232A
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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
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/413—Classification of content, e.g. text, photographs or tables
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/24—Aligning, centring, orientation detection or correction of the image
- G06V10/242—Aligning, centring, orientation detection or correction of the image by image rotation, e.g. by 90 degrees
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/24—Aligning, centring, orientation detection or correction of the image
- G06V10/245—Aligning, centring, orientation detection or correction of the image by locating a pattern; Special marks for positioning
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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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Abstract
The invention provides an O2O Internet homework book, an O2O Internet homework book system and a realization method. The O2O Internet homework book is provided with a bar code region, a student information region, answer regions, grade column regions, and work subjects. Each work subject is corresponding to an answer region. The bar code region is provided with a bar code, and the bar code comprises classified information of the homework. Each page of the homework book is provided with the bar code region. The classified information of the homework contains subjects or chapters or knowledge point information. Through the homework book, student information and grade data can be rapidly, accurately, and automatically identified and counted, and the data information is uploaded to a network, teachers and parents of the students can rapidly check conditions that students learn teaching knowledge points through intelligent terminals, so as to realize longitudinal (among different time periods) and horizontal (among different individuals) statistical data analysis of homework score conditions. The system is beneficial for reinforcing teaching management and teaching data storage, and provides data support for customized teaching.
Description
Technical field
The invention belongs to teaching auxiliary device field, particularly relate to a kind of O2O internet homework book and system thereof.
Background technology
Operation exercise is important step in students'learning, by the judge of teacher with read and make comments, the grasp situation of student to subject knowledge point can be found, and take corresponding measure to improve results of learning in time.What current students' work exercise generally adopted is that student fulfils assignment at home, on classroom, unification is submitted, then undertaken correcting scoring by teacher, manual statistics score, and manually add up the grasp situation of certain knowledge point student, this pattern needs the time wasting teacher a large amount of to do statistic analysis.Secondly, the operation exercise after judge needs to occupy larger parking space, and long term accumulation homework book is reached certain time limit and processed by the mode abandoned later.This processing mode has obvious deficiency, is unfavorable for carrying out effective teaching management.To sum up, in current operation exercise is passed judgment on and read and made comments, be summed up, have the shortcoming of the following aspects:
1, add up scoring process to waste time and energy, statistics is easily made mistakes.Adopt complicate statistics mode, particularly the operation exercise of multiple subject every day, scoring process needs the manpower of at substantial, is unfavorable for the efficiency improving teaching management.In addition, complicate statistics is easy to occur mistake.
2, be difficult to carry out valid data storage and management.After passing judgment on, operation exercise is in papery mode by student or teacher's distributed and saved, and long-term a large amount of operation is unfavorable for management, usually can be dropped.In teaching process, usually wish to consult operation in the past, current processing mode is difficult to the demand meeting this respect, and the efficiency of searching is also very low.
3, effective data statistics and analysis cannot be realized.A large amount of work datas can provide effective Data support for the effect improving learning aid.Such as, by the analysis to certain student answer in the past and handling situations, personalized teaching can be provided for deficiency.Student can be easy to the weak point finding oneself, and teacher also can be not enough for student, teaches separately.Teacher also by the data in the past longitudinal (different time is intersegmental) of full class or certain colony and the analysis of horizontal (between Different Individual), can carry out and impart knowledge to students targetedly.But current disposal route is difficult to the demand meeting this respect.
Summary of the invention
For solving above technical matters, the present invention proposes a kind of O2O internet homework book, system and implementation method.
Technical scheme of the present invention is:
A kind of O2O internet homework book, is characterized in that, homework book is provided with bar code region, student information region, answer region and mark region, hurdle, operation exercise question, the corresponding answer region of each operation exercise question; Bar code region is provided with bar code, and bar code comprises the classified information of operation; The every one page of homework book arranges and is provided with bar code region; The classified information of operation comprises subject or chapters and sections or knowledge point information.
Further, operation exercise question comprises subjective item and objective item; The corresponding scoring region of each subjective item.
Further, in homework book, be provided with objective item answer prefecture, for filling in the answer of more than one or one objective item.
A kind of O2O internet homework book system, is characterized in that, comprise homework book, intelligent terminal, image collecting device, image processing apparatus, database server; Image collecting device is used for this epigraph of Collecting operation, and this epigraph of Collecting operation is saved in database server; Image processing apparatus identifies the bar code in the homework book of image acquisition device, obtain operation bar code information, and the image information in homework book is positioned and segmentation, be partitioned into character picture region to be identified, then high precision identification is carried out to character picture region, and the data message after identifying is uploaded to database server and adds up; Database server is for preserving the data of the image of image acquisition device, student information, image processing apparatus process; Intelligent terminal is used for communicating with between database server, display student information, job information and appraisal result.Intelligent terminal can be mobile phone or panel computer or PC.
Further, image collector is set to scanner or camera.
Further, when operation exercise question is subjective item, character picture region to be identified in image processing apparatus is scoring region, hurdle.
Further, when operation exercise question is objective item, character picture region to be identified in image processing apparatus is objective item answer prefecture.
Implementation method, is characterized in that, comprises the steps:
1) adopt image acquisition device flow diagram picture, and this epigraph of Collecting operation is saved in database server;
2) image processing apparatus is to step 1) in gather flow diagram picture carry out binary conversion treatment;
3) image processing apparatus identifies the bar code in homework book, obtains operation bar code information;
4) image processing apparatus positions the image information in homework book;
5) to step 4) in image information after positioning split, be partitioned into character block to be identified;
6) to step 5) in the character that is partitioned into identify, recognition methods is as follows: first obtain segmentation candidates character according in character block cutting procedure, set up candidate characters split path figure, then adopt the method for dynamic programming to calculate optimal segmentation path, obtain the recognition result of character string; Last and the data message after identifying is uploaded to database server adds up.
Further, step 2) in, adopt and carry out image binaryzation process based on maximum between-cluster variance method.
Further, step 6) in character block is divided into non-Chinese character string and Chinese character string two kinds, carry out identifying processing respectively; For the identification of non-Chinese character string, to each candidate characters block, first 8 direction gradient features are calculated, and carry out LDA dimensionality reduction, then in the space of feature vectors after dimensionality reduction, utilize MQDF (ModifiedQuadraticDiscriminantFunction) sorter to classify, obtain the recognition credibility of each candidate characters; The geological informations such as the ratio of width to height of recognition credibility and neighboring candidate Character segmentation block are carried out comprehensively, and during the optimal segmentation path recognition credibility after comprehensive being updated to text block identification calculates; For the identification of Chinese character string, to each candidate characters block, first calculate 8 direction gradient features, and carry out LDA dimensionality reduction; In space of feature vectors after dimensionality reduction, MQDF sorter is utilized to classify, obtain the recognition credibility of each candidate characters, by recognition credibility and binary language model information, and the geological information such as the ratio of width to height of neighboring candidate Character segmentation block carries out comprehensively, and during the optimal segmentation path recognition credibility after comprehensive being updated to line of text identification calculates.
By adopting technique scheme, serve as a teacher after having read and appraised operation, first by image collecting device, the image on homework book is gathered, and by image processing apparatus, the bar code in the homework book of image acquisition device is identified, obtain operation bar code information, and the image information in homework book is positioned and segmentation, be partitioned into character picture region to be identified, and high precision identification is carried out to character picture region, finally the data messages such as the appraisal result obtained, subjective item answer situation are uploaded to database server and carry out statistical study.
Image processing apparatus can identify and statistic information, score data fast, accurately automatically, and this data message is uploaded to network, teacher and parents of student pass through intelligent terminal, the grasp situation of student to teaching knowledge point can be consulted fast, realize the longitudinal direction (different time is intersegmental) of operation scoring event and the analysis of statistical data of horizontal (between Different Individual).Meanwhile, this system is conducive to the preservation strengthening teaching management and teaching data, for the teaching of personalization provides Data support.
Accompanying drawing explanation
Fig. 1 is the structural representation of embodiment 1 homework book;
Fig. 2 is the structured flowchart of homework book system;
Fig. 3 is the structural representation of embodiment 2 homework book;
Fig. 4 is the structural representation of embodiment 3 homework book;
Fig. 5 is the process flow diagram of implementation method.
Embodiment
The technological means realized to make the present invention, creation characteristic, reaching object and effect is easy to understand, below in conjunction with diagram and specific embodiment, setting forth the present invention further.
Embodiment 1:
As shown in Figure 1, exercise question involved by homework book is subjective item, the every one page of homework book is provided with bar code region 1, student information region 2, subject 3, operation exercise question 4, answer region 6, scoring region, hurdle 5, student information region 2 comprises student name, class and student number etc.; The corresponding region, a scoring hurdle of each subjective item exercise question; Bar code region is provided with bar code, and bar code comprises the classified information of operation, such as chapter, joint, knowledge point etc.
Homework book system, as shown in Figure 2, comprises homework book, intelligent terminal, image collecting device, image processing apparatus, database server; Image collecting device is used for this epigraph of Collecting operation, and by the homework book Image Saving of collection to database server; Image collecting device can be scanner or camera.Intelligent terminal can be mobile phone or panel computer or PC.
In embodiment 1, exercise question involved by homework book is subjective item, student is after the answer of answer region, first read and made comments by teacher, then gathered by the image of image collecting device to each page of homework book, image processing apparatus identifies the bar code in the homework book of image acquisition device, obtain operation bar code information, and the image information in homework book is positioned and segmentation, be partitioned into character picture region to be identified, and high precision identification is carried out to character picture region, character picture region wherein to be identified is scoring region, hurdle, finally the data messages such as appraisal result will be obtained, and data message is uploaded to database server adds up, realize the longitudinal direction (different time is intersegmental) of operation scoring event and the analysis of statistical data of horizontal (between Different Individual).
Database server is for preserving the data of the image of image acquisition device, student information, image processing apparatus process;
Intelligent terminal is used for communicating with between database server, display student information, job information and appraisal result.
As shown in Figure 5, the implementation method of native system is as follows:
1) student is after the answer of answer region, is is first read and made comments by teacher, then carries out scanning collection by high speed scanner to the image of each page of homework book.
2) image processing apparatus carries out binary conversion treatment to the image of scanning successively; Adopt and carry out image binaryzation based on maximum between-cluster variance method.First maximum between-cluster variance method is utilized to determine to split the threshold value of display foreground and background, the then minimum and maximum gray-scale value of computed image.Exceed with minimal gray value difference the value preset if maximum, then utilize threshold value to carry out binaryzation, otherwise image binaryzation is full background, and to identify this operation be blank operation, no longer carry out subsequent treatment.
3) bar code zone location: the bar code in scan image, carries out the location of image direction by bar code, carry out rotation correction to the image tilted; The location in bar code region is carried out according to the structure of bar code and positioning mark symbol, and according to the rotation of locating information computational tasks image and vergence direction.Then, utilize the horizontal and vertical segmentation solid line in scoring region, hurdle, adopt the method analyzed based on projected outline, vergence direction is accurately located in small angle range, finally image is tilted and the correction of sense of rotation.
4) location in student information region; According to Bar code positioning result and operation structure, utilize Hough transform line detection method to detect the regions such as student name, class and student number, realize the location in student information region.
5) location in scoring region, hurdle; The method orientation and segmentation based on straight-line detection is adopted to go out corresponding scoring hurdle image block.First utilize Hough transform line detection method to detect the vertical segmentation solid line of the scoring left and right sides, region, hurdle, scoring region, location, then, utilize the horizontal division line on the scoring hurdle, method location analyzed based on projected outline.Last according to horizontal and vertical cut-off rule position, what realize each exercise question comments subregional framing.
6) the subregional image information of commenting of having had good positioning is split, be partitioned into character block to be identified.Calculate optimal segmentation path, the candidate characters of character block is split, confidence level calculating is carried out to candidate characters; Here the strategy of over-segmentation is adopted.To each character picture block, first carry out vertical projection, projection profile value is less than institute's a little alternatively vertical segmentation point of certain threshold value, obtains candidate characters block.Then, according to the width of neighboring candidate Character segmentation block, and the stroke of the vertical scan direction at vertical segmentation point place passes through number, block width and stroke is passed through several block being all less than certain threshold value and merges.Finally obtain the segmentation candidates character of over-segmentation.Because hand-written character easily occurs connecting pen, this method can adapt to the situation connecting pen preferably.
6) character be partitioned into is identified, finally obtain the recognition result of appraisal result and corresponding paper information.Text block is divided into non-Chinese character string (as student number, scoring etc.) and Chinese character string (as name, class) two kinds, carries out identifying processing respectively.The identifying of text block is: first according to the segmentation candidates character obtained in text block cutting procedure, sets up candidate characters split path figure, then adopts the method for dynamic programming to calculate optimal segmentation path, obtains the recognition result of character string.For the identification of non-Chinese character string, to each candidate characters block, first 8 direction gradient features are calculated, and carry out LDA dimensionality reduction, then in the space of feature vectors after dimensionality reduction, utilize MQDF (ModifiedQuadraticDiscriminantFunction) sorter to classify, obtain the recognition credibility of each candidate characters.The geological informations such as the ratio of width to height of recognition credibility and neighboring candidate Character segmentation block are carried out comprehensively, and during the optimal segmentation path recognition credibility after comprehensive being updated to text block identification calculates.For the identification of Chinese character string, to each candidate characters block, first calculate 8 direction gradient features, and carry out LDA dimensionality reduction.In space of feature vectors after dimensionality reduction, MQDF sorter is utilized to classify, obtain the recognition credibility of each candidate characters, by recognition credibility and binary language model information, and the geological information such as the ratio of width to height of neighboring candidate Character segmentation block carries out comprehensively, and during the optimal segmentation path recognition credibility after comprehensive being updated to line of text identification calculates.
Embodiment 2:
Embodiment 2 is with the difference of embodiment 1, and in embodiment 2, exercise question both comprised subjective item, comprised objective item again.
As shown in Figure 3, homework book, comprises bar code region 1a, student information region 2a, subject 3a, operation exercise question 4a, scoring region 5a, answer region; Student information region 2a comprises student name, class and student number etc.; Bar code region 1a is provided with bar code, and bar code comprises the classified information of operation, such as chapter, joint, knowledge point etc.
Answer region comprises two parts, and one is subjective item answer region 6a, and two is objective item answer prefecture 6b; Each subjective item limit is provided with scoring region 5a, scoring region 5a is read and appraised the situation of answering of subjective item by teacher.Objective item answer prefecture, for filling in the answer of more than one or one objective item.
In every one page of homework book, include bar code region 1a, student information region 2a, subject 3a, operation exercise question 4a, these information can be arranged on the top of homework book or bottom or side; In every one page of homework book, not only objective item can be comprised but also subjective item can be comprised; Also can be only subjective item or objective item.
Homework book system is with embodiment 1.
The existing subjective item of exercise question involved by homework book has objective item again, when student is after the answer of answer region, first read and made comments by teacher, then gathered by the image of image collecting device to each page of homework book, image processing apparatus identifies the bar code in the homework book of image acquisition device, obtain operation bar code information, and the image information in homework book is positioned and segmentation, be partitioned into character picture region to be identified, and high precision identification is carried out to character picture region.
When examination question exercise question is subjective item, character picture region to be identified is scoring region, hurdle; When examination question exercise question is objective item, character picture region to be identified is objective item answer prefecture, carries out Automatic Read Overmarginalia and fractional statistics to the answer situation in objective item answer prefecture; The achievement that the appraisal result finally subjective item part obtained and objective exercise question obtain is carried out statistics and is obtained data message, and data message is uploaded to database server adds up, realize the longitudinal direction (different time is intersegmental) of operation scoring event and the analysis of statistical data of laterally (between Different Individual).
Embodiment 3
As shown in Figure 4, exercise question involved by homework book is objective item, the every one page of homework book is provided with bar code region 1c, student information region 2c, subject 3c, operation exercise question 4c, objective item answer prefecture 6c, student information region 2c comprises student name, class and student number etc.; Bar code region is provided with bar code, and bar code comprises the classified information of operation, such as chapter, joint, knowledge point etc.Objective item answer prefecture 6c, for filling in the answer of all objective items.
Homework book system is with embodiment 1.
When data processing, the figure of image processing apparatus to objective item answer prefecture carries out identifying processing.
More than show and describe ultimate principle of the present invention, principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; what describe in above-described embodiment and instructions just illustrates principle of the present invention; the present invention also has various changes and modifications without departing from the spirit and scope of the present invention, and these changes and improvements all fall in the claimed scope of the invention.
Claims (10)
1. an O2O internet homework book, is characterized in that, homework book is provided with bar code region, student information region, answer region and mark region, hurdle, operation exercise question, the corresponding answer region of each operation exercise question; Bar code region is provided with bar code, and bar code comprises the classified information of operation; The every one page of homework book arranges and is provided with bar code region; The classified information of operation comprises subject or chapters and sections or knowledge point information.
2. a kind of O2O internet according to claim 1 homework book, it is characterized in that, operation exercise question comprises subjective item and objective item; The corresponding scoring region of each subjective item.
3. a kind of O2O internet according to claim 1 and 2 homework book, is characterized in that, be provided with objective item answer prefecture in homework book, for filling in the answer of more than one or one objective item.
4. an O2O internet homework book system, is characterized in that, comprises homework book, intelligent terminal, image collecting device, image processing apparatus, database server; Image collecting device is used for this epigraph of Collecting operation, and this epigraph of Collecting operation is saved in database server; Image processing apparatus identifies the bar code in the homework book of image acquisition device, obtain operation bar code information, and the image information in homework book is positioned and segmentation, be partitioned into character picture region to be identified, then high precision identification is carried out to character picture region, and the data message after identifying is uploaded to database server and adds up; Database server is for preserving the data of the image of image acquisition device, student information, image processing apparatus process; Intelligent terminal is used for communicating with between database server, display student information, job information and appraisal result.
5. a kind of O2O internet according to claim 4 homework book system, it is characterized in that, image collector is set to scanner or camera.
6. a kind of O2O internet according to claim 4 homework book system, is characterized in that, when operation exercise question is subjective item, character picture region to be identified in image processing apparatus is scoring region, hurdle.
7. a kind of O2O internet according to claim 4 homework book system, is characterized in that, when operation exercise question is objective item, character picture region to be identified in image processing apparatus is objective item answer prefecture.
8. implementation method, is characterized in that, comprises the steps:
1) adopt image acquisition device flow diagram picture, and this epigraph of Collecting operation is saved in database server;
2) image processing apparatus is to step 1) in gather flow diagram picture carry out binary conversion treatment;
3) image processing apparatus identifies the bar code in homework book, obtains operation bar code information;
4) image processing apparatus positions the image information in homework book;
5) to step 4) in image information after positioning split, be partitioned into character block to be identified;
6) to step 5) in the character that is partitioned into identify, recognition methods is as follows: first obtain segmentation candidates character according in character block cutting procedure, set up candidate characters split path figure, then adopt the method for dynamic programming to calculate optimal segmentation path, obtain the recognition result of character string; Last and the data message after identifying is uploaded to database server adds up.
9. implementation method according to claim 8, is characterized in that, step 2) in, adopt and carry out image binaryzation process based on maximum between-cluster variance method.
10. implementation method according to claim 8, is characterized in that, step 6) in character block is divided into non-Chinese character string and Chinese character string two kinds, carry out identifying processing respectively; For the identification of non-Chinese character string, to each candidate characters block, first 8 direction gradient features are calculated, and carry out LDA dimensionality reduction, then in the space of feature vectors after dimensionality reduction, utilize MQDF (ModifiedQuadraticDiscriminantFunction) sorter to classify, obtain the recognition credibility of each candidate characters; The geological informations such as the ratio of width to height of recognition credibility and neighboring candidate Character segmentation block are carried out comprehensively, and during the optimal segmentation path recognition credibility after comprehensive being updated to text block identification calculates; For the identification of Chinese character string, to each candidate characters block, first calculate 8 direction gradient features, and carry out LDA dimensionality reduction; In space of feature vectors after dimensionality reduction, MQDF sorter is utilized to classify, obtain the recognition credibility of each candidate characters, by recognition credibility and binary language model information, and the geological information such as the ratio of width to height of neighboring candidate Character segmentation block carries out comprehensively, and during the optimal segmentation path recognition credibility after comprehensive being updated to line of text identification calculates.
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