CN113516079B - Automatic reform system - Google Patents
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- CN113516079B CN113516079B CN202110797977.0A CN202110797977A CN113516079B CN 113516079 B CN113516079 B CN 113516079B CN 202110797977 A CN202110797977 A CN 202110797977A CN 113516079 B CN113516079 B CN 113516079B
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Abstract
The invention discloses an automatic rewinding system, which comprises: the system comprises an answer sheet, a scanning module, an identification module and a printing module; the scanning module scans images of image information on the answer sheet by adopting a scanner and scans various answer information in the answer sheet, wherein the various answers comprise single-choice questions and/or multi-choice questions, judgment questions, blank-filling questions and question and answer questions; the recognition module comprises an image recognition module, an image transmission module, a computer end, a calculation module and a main control module, the image recognition module is connected with the scanning module, the image transmission module is connected with the image recognition module, the computer end is connected with the image transmission module, the calculation module is connected with the image recognition module and the computer end, the main control module is connected with the calculation module, and the printing module is connected with the main control module. The automatic paper rewinding system provided by the invention can realize three-in-one of scanning, identification and printing.
Description
Technical Field
The invention relates to the technical field of automatic marking, in particular to an automatic marking changing system.
Background
The current paper marking system (network reading system) cannot directly correct the test paper. The basic steps of the current paper marking system (network reading system) are as follows: (1) setting a test paper structure according to the test content; (2) setting an answer sheet template of the examination; (3) Scanning the answer sheet, and marking by using a teacher mobile phone or a computer; and (4) counting the examination scores. Such an examination paper reading system (network reading system) has drawbacks: the small-sized examinations such as class examinations are completely inapplicable; the difficulty of organizing the examination by teachers is increased, so that many teachers prefer manual review and do not need a paper reading system for making a small examination.
Disclosure of Invention
In view of this, the present invention provides an automatic rewinding system.
In order to achieve the purpose, the invention adopts the following technical scheme:
an automatic paper changing system comprises an answer sheet, a scanning module, an identification module and a printing module;
the scanning module scans images of image information on the answer sheet by adopting a scanner and scans various answer information in the answer sheet, wherein the various answers comprise single-choice questions and/or multi-choice questions, judgment questions, blank-filling questions and question and answer questions;
the identification module comprises an image identification module, an image transmission module, a computer terminal, a calculation module and a main control module, wherein the image identification module is connected with the scanning module, the image transmission module is connected with the image identification module, the computer terminal is connected with the image transmission module, the calculation module is connected with the image identification module and the computer terminal, the main control module is connected with the calculation module, and the printing module is connected with the main control module;
the image recognition module receives the image information from the scanning module, and then recognizes the boundary information of the answer of the single-choice question and/or the multiple-choice question in the image information, the answer of the judgment question and the answer of the blank filling question by adopting a boundary recognition method, and compares the boundary information with the standard boundary information stored in the storage unit in the main control module to realize the judgment correctness and the automatic change of multiple answers, the image transmission module transmits the answer of the question and answer in the image information to the computer end, the calculation module transmits the score statistical sum of multiple answers obtained by the image recognition module and the computer end to the printing module and sends a printing signal, and the printer prints the test score of each answer card on the answer card to realize the three-in-one steps of scanning, marking and changing;
the boundary identification method comprises the following specific steps:
(1) The image recognition module receives image information from the scanning module, and correspondingly divides each character in each answer of a plurality of answers including single-choice answers and/or multi-choice answers and blank-filling answers into an image sub-block under the condition that the transverse distance between the characters is smaller than a preset threshold value and the longitudinal distance between the characters is smaller than the preset threshold value to form an image word block; the answer of the single-choice question and/or the multiple-choice question of the image character block and the answer of the blank filling question are objective questions;
(2) Collecting the transverse spacing parameters a1', a2' and a3' of the specified upper region, middle region and lower region of each image block;
(3) Comparing the transverse spacing parameters of the designated upper area, the middle area and the lower area of each image word block with the standard transverse spacing parameters a1, a2 and a3 of each image word block corresponding to a pre-stored total standard model in a storage unit of the main control module, wherein when a1= a1', a2= a2' and a3= a3', the image sub-blocks form correct word blocks, when each image word block in a plurality of characters in each answer of the single-choice question and/or multiple-choice question and the answer of the fill-in question is the correct word block, one answer is identified as the correct answer, otherwise, the answer is identified as the wrong answer;
the method for appointing the upper area, the middle area and the lower area of each image block comprises the following steps:
(1) Collecting longitudinal coordinates of all longitudinal areas of each image block, wherein a standard longitudinal total interval parameter of the corresponding image block in a pre-stored total standard model in a storage unit of a main control module is b;
(2) Marking the positions of three longitudinal areas b1, b2 and b3 in the longitudinal area of each image block as an upper area, a middle area and a lower area, wherein b1=1/4b, b2=2/4b and b3=1/4b.
The method also comprises smearing the image blocks, wherein the preset conditions for smearing the image blocks are as follows: when the distances of the a1'-b1', the a2'-b2' and the a3'-b3' are smaller than a preset threshold value, a daubed image character block is formed, and the daubed image character block does not carry out answer positive and false judgment.
Preferably, the questions and answers are subjective questions, the image transmission module transmits the answers of the questions and answers in the image information to the computer end, the computer end manually realizes answer scoring of the questions and answers, and the computer end transmits the answer scoring of the questions and answers to the calculation module, so that subjective manual correction is realized.
Preferably, the calculation module adopts a deep learning method to identify the answer of the single-choice question and/or the multiple-choice question, judge the answer of the question, the answer of the blank filling question and the answer score of the answer of the question and answer, and performs score summarizing calculation to obtain the test result of each answer sheet.
Preferably, the main control module adopts a controller.
Preferably, the answer sheet server further comprises a cloud server, the cloud server is connected with the main control module, the main control module collects and calculates the scores obtained by each answer sheet through the calculation module and sends the scores to the cloud server, and the cloud server realizes data storage so as to retain, collect and subsequently update data.
Compared with the prior art, the invention has the beneficial effects that: the automatic paper changing system integrates scanning, paper marking and correcting, adopts a self-researched general answer sheet template and combines the latest handwriting recognition technology, can realize intelligent correction of test paper, and prints correction results on an original answer sheet;
the maximum bright spot is that the scanning and printing are integrated, and the examination result can be directly printed on the answer sheet; the machine carries a picture recognition algorithm, and particularly for subjects with standard answers such as mathematics and the like, the system for organizing the examinations can achieve twice the result with half the effort, four steps of organizing the examinations in the prior art are omitted, and the problem of examination reading work of teachers in daily examinations is thoroughly solved.
Drawings
FIG. 1 is a style diagram of an answer sheet according to the present invention;
FIG. 2 is a diagram of an answer sheet style of the present invention;
FIG. 3 is a block diagram of the overall structure of the present invention;
fig. 4 is a block diagram of the overall structure of the present invention.
In the figure: 1. answering cards; 2. a scanning module; 3. an identification module; 4. a printing module; 5. a cloud server; 301. an image recognition module; 302. an image transfer module; 303. a computer terminal; 304. a calculation module; 305. and a main control module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless explicitly stated or limited otherwise, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.
Example 1:
referring to fig. 1-4, an automatic paper changing system includes an answer sheet 1, a scanning module 2, an identification module 3, and a printing module 4.
The scanning module 2 scans the image information on the answer sheet 1 by using a scanner, and scans various answer information in the answer sheet 1, wherein the various answers comprise single-choice questions and/or multi-choice questions, judgment questions, blank-filling questions and question and answer questions.
The recognition module 3 includes an image recognition module 301, an image transmission module 302, a computer 303, a calculation module 304 and a main control module 305.
The image recognition module 301 is connected with the scanning module 2, the image recognition module 301 receives the image information from the scanning module 2, and then adopts a boundary recognition method to recognize the boundary information of the answer of the single-choice question and/or the multiple-choice question in the image information, the answer of the judgment question and the answer of the blank filling question, and compares the boundary information with the standard boundary information stored in the storage unit in the main control module, so as to realize the judgment of the multiple answers and the automatic change of the examination papers.
The boundary identification method comprises the following specific steps:
(1) The image recognition module 301 receives the image information from the scanning module 2, and correspondingly divides each character in each answer of a plurality of answers including single-choice questions and/or multi-choice questions and blank-filling questions into an image sub-block; the segmentation condition is that the transverse distance between characters is smaller than a preset threshold value, and the longitudinal distance between characters is smaller than the preset threshold value, so that an image block is formed; the answer of the single-choice question and/or the multiple-choice question of the image word block and the answer of the blank filling question are objective questions;
(2) Collecting the transverse spacing parameters a1', a2' and a3' of the specified upper region, middle region and lower region of each image block;
(3) The transverse distance parameters of the appointed upper region, middle region and lower region of each image word block are compared with the standard transverse distance parameters a1, a2 and a3 of each image word block corresponding to a pre-stored total standard model in a storage unit of a main control module, when a1= a1', a2= a2' and a3= a3', the image sub-blocks form correct word blocks, when each image word block in a plurality of characters in each answer of single-choice questions and/or multiple-choice questions and blank filling answers is the correct word block, one answer is identified as the correct answer, otherwise, the answer is identified as the wrong answer.
The method for appointing the upper area, the middle area and the lower area of each image block comprises the following steps:
(1) Collecting longitudinal coordinates of all longitudinal areas of each image block, wherein a standard longitudinal total interval parameter of the corresponding image block in a total standard model stored in advance in a storage unit of a main control module is b;
(2) Marking the positions of three longitudinal areas b1, b2 and b3 in the longitudinal area of each image block as an upper area, a middle area and a lower area, wherein b1=1/4b, b2=2/4b and b3=1/4b.
The image transmission module 302 is connected with the image recognition module 301, the computer terminal 303 is connected with the image transmission module 302, the calculation module 304 is connected with both the image recognition module 301 and the computer terminal 303, and the main control module 305 is connected with the calculation module 304; the image transmission module 302 transmits the answer of the question and answer in the image information to the computer end 303, the question and answer are subjective questions, the image transmission module 302 transmits the answer of the question and answer in the image information to the computer end 303, the answer scoring of the question and answer is manually realized at the computer end 303, the computer end 303 transmits the answer scoring of the question and answer to the calculation module 304, the subjective manual correction is realized, and the manual scoring of the subjective question improves the quality and the efficiency of correction and statistics. The calculation module 304 adopts a deep learning method to identify the answer of the single-choice question and/or the multiple-choice question, judge the answer of the question, fill up the blank question, and the answer score of the answer of the question and answer, and performs score summary calculation, and the calculation module 304 calculates the sum of the scores of the multiple answers obtained by the image identification module 301 and the computer terminal 303, so as to obtain the examination result of each answer sheet 1. The master control module 305 employs a controller.
The printing module 4 is connected with the main control module 305; the main control module 305 sends the score statistical sum to the printing module 4 and sends a printing signal, and the printer 4 prints the examination score of each answer sheet 1 on the answer sheet 1, so that the three-in-one steps of scanning, marking and correcting are realized.
The cloud server 5 is connected with the main control module 305, the main control module 305 collects and calculates the scores obtained by each answer sheet through the calculation module 304 and sends the scores to the cloud server 5, and the cloud server 5 stores the data so as to retain, collect and subsequently update the data.
Example 2
Referring to fig. 1-4, an automatic paper changing system includes an answer sheet 1, a scanning module 2, an identification module 3, and a printing module 4.
The scanning module 2 scans the image information on the answer sheet 1 by using a scanner, and scans various answer information in the answer sheet 1, wherein the various answers comprise single-choice questions and/or multi-choice questions, judgment questions, blank-filling questions and question and answer questions.
The recognition module 3 includes an image recognition module 301, an image transmission module 302, a computer 303, a calculation module 304 and a main control module 305.
The image recognition module 301 is connected with the scanning module 2, the image recognition module 301 receives the image information from the scanning module 2, and then adopts a boundary recognition method to recognize the boundary information of the answer of the single-choice question and/or the multiple-choice question in the image information, the answer of the judgment question and the answer of the blank filling question, and compares the boundary information with the standard boundary information stored in the storage unit in the main control module, so as to realize the judgment of the multiple answers and the automatic change of the examination papers.
The boundary identification method comprises the following specific steps:
(1) The image recognition module 301 receives the image information from the scanning module 2, and correspondingly divides each character in each answer of a plurality of answers including single-choice questions and/or multi-choice questions and blank-filling questions into an image sub-block; the segmentation condition is that the transverse distance between characters is smaller than a preset threshold value, and the longitudinal distance between characters is smaller than the preset threshold value, so as to form an image block; the answer of the single-choice question and/or the multiple-choice question of the image word block and the answer of the blank filling question are objective questions;
(2) Collecting the transverse spacing parameters a1', a2' and a3' of the specified upper region, middle region and lower region of each image block;
(3) The transverse distance parameters of the appointed upper region, middle region and lower region of each image word block are compared with the standard transverse distance parameters a1, a2 and a3 of each image word block corresponding to a pre-stored total standard model in a storage unit of a main control module, when a1= a1', a2= a2' and a3= a3', the image sub-blocks form correct word blocks, when each image word block in a plurality of characters in each answer of single-choice questions and/or multiple-choice questions and blank filling answers is the correct word block, one answer is identified as the correct answer, otherwise, the answer is identified as the wrong answer.
The method for appointing the upper area, the middle area and the lower area of each image block comprises the following steps:
(1) Collecting longitudinal coordinates of all longitudinal areas of each image block, wherein a standard longitudinal total interval parameter of the corresponding image block in a pre-stored total standard model in a storage unit of a main control module is b;
(2) Marking the positions of three longitudinal areas b1, b2 and b3 in the longitudinal area of each image block as an upper area, a middle area and a lower area, wherein b1=1/4b, b2=2/4b and b3=1/4b.
The method further comprises smearing the image blocks, wherein the preset conditions for smearing the image blocks are as follows: the method comprises the steps of collecting transverse spacing parameters a1', a2' and a3 'of an appointed upper area, a middle area and a lower area of an image block, and collecting longitudinal spacing parameters b1', b2 'and b3' of the appointed upper area, the middle area and the lower area of the same image block, wherein when the spacing of a1'-b1', a2'-b2' and a3'-b3' is smaller than a preset threshold value, a smearing image block is formed, the smearing image block is a character which is smeared after an examinee carelessly fills in an error answer, and the correct and wrong judgment of the answer is not carried out.
The image transmission module 302 is connected with the image recognition module 301, the computer terminal 303 is connected with the image transmission module 302, the calculation module 304 is connected with both the image recognition module 301 and the computer terminal 303, and the main control module 305 is connected with the calculation module 304; the image transmission module 302 transmits the answer of the question and answer in the image information to the computer end 303, the question and answer are subjective questions, the image transmission module 302 transmits the answer of the question and answer in the image information to the computer end 303, the computer end 303 manually realizes answer scoring of the question and answer, the computer end 303 transmits the answer scoring of the question and answer to the calculation module 304, the subjective manual correction is realized, and the manual scoring of the subjective question improves the quality and the efficiency of correction and statistics. The calculation module 304 adopts a deep learning method to identify the answer of the single-choice question and/or the multiple-choice question, judge the answer of the question, fill up the blank question, and the answer score of the answer of the question and answer, and performs score summary calculation, and the calculation module 304 calculates the sum of the scores of the multiple answers obtained by the image identification module 301 and the computer terminal 303, so as to obtain the examination result of each answer sheet 1. The master control module 305 employs a controller.
The printing module 4 is connected with the main control module 305; the main control module 305 sends the score statistical sum to the printing module 4 and sends a printing signal, and the printer 4 prints the examination score of each answer sheet 1 on the answer sheet 1, so that the three-in-one steps of scanning, marking and correcting are realized.
The cloud server 5 is connected with the main control module 305, the main control module 305 collects and calculates the scores obtained by each answer sheet through the calculation module 304 and sends the scores to the cloud server 5, and the cloud server 5 stores the data so as to retain, collect and subsequently update the data.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical scope of the present invention and the equivalent alternatives or modifications according to the technical solution and the inventive concept of the present invention within the technical scope of the present invention.
Claims (5)
1. An automatic rewinding system, comprising: the system comprises an answer sheet, a scanning module, an identification module and a printing module;
the scanning module scans images of image information on the answer sheet by adopting a scanner and scans various answer information in the answer sheet, wherein the various answers comprise single-choice questions and/or multi-choice questions, judgment questions, blank-filling questions and question and answer questions;
the identification module comprises an image identification module, an image transmission module, a computer terminal, a calculation module and a main control module, wherein the image identification module is connected with the scanning module, the image transmission module is connected with the image identification module, the computer terminal is connected with the image transmission module, the calculation module is connected with the image identification module and the computer terminal, the main control module is connected with the calculation module, and the printing module is connected with the main control module;
the image recognition module receives the image information from the scanning module, and then recognizes the boundary information of the answer of the single-choice question and/or the multiple-choice question in the image information, the answer of the judgment question and the answer of the blank filling question by adopting a boundary recognition method, and compares the boundary information with the standard boundary information stored in the storage unit in the main control module to realize the judgment correctness and the automatic change of multiple answers, the image transmission module transmits the answer of the question and answer in the image information to the computer end, the calculation module transmits the score statistical sum of multiple answers obtained by the image recognition module and the computer end to the printing module and sends a printing signal, and the printer prints the test score of each answer card on the answer card to realize the three-in-one steps of scanning, marking and changing;
the boundary identification method comprises the following specific steps:
(1) The image recognition module receives image information from the scanning module, and correspondingly divides each character in each answer of a plurality of answers including single-choice answers and/or multi-choice answers and blank-filling answers into an image sub-block under the condition that the transverse distance between the characters is smaller than a preset threshold value and the longitudinal distance between the characters is smaller than the preset threshold value to form an image word block; the answer of the single-choice question and/or the multiple-choice question of the image word block and the answer of the blank filling question are objective questions;
(2) Collecting the transverse spacing parameters a1', a2' and a3' of the specified upper region, middle region and lower region of each image block;
(3) Comparing the transverse spacing parameters of the designated upper area, the middle area and the lower area of each image word block with the standard transverse spacing parameters a1, a2 and a3 of each image word block corresponding to a pre-stored total standard model in a storage unit of the main control module, wherein when a1= a1', a2= a2' and a3= a3', the image sub-blocks form correct word blocks, when each image word block in a plurality of characters in each answer of the single-choice question and/or multiple-choice question and the answer of the fill-in question is the correct word block, one answer is identified as the correct answer, otherwise, the answer is identified as the wrong answer;
the method for appointing the upper area, the middle area and the lower area of each image block comprises the following steps:
(1) Collecting longitudinal coordinates of all longitudinal areas of each image block, wherein a standard longitudinal total interval parameter of the corresponding image block in a total standard model stored in advance in a storage unit of a main control module is b;
(2) Marking the positions of three longitudinal areas b1, b2 and b3 in the longitudinal area of each image block as an upper area, a middle area and a lower area, wherein b1=1/4b, b2=2/4b and b3=1/4b;
the method further comprises smearing the image blocks, wherein the preset conditions for smearing the image blocks are as follows: and collecting transverse spacing parameters a1', a2' and a3 'of the specified upper region, the middle region and the lower region of the image block, and collecting longitudinal spacing parameters b1', b2 'and b3' of the specified upper region, the middle region and the lower region of the same image block, wherein when the spacings of a1'-b1', a2'-b2' and a3'-b3' are all smaller than a preset threshold value, a coated image block is formed, and the coated image block is not subjected to answer positive and wrong judgment.
2. The automatic paper changing system according to claim 1, wherein the questions and answers are subjective questions, the image transmission module transmits answers of the questions and answers in the image information to the computer, the computer manually realizes answer scoring of the questions and answers, and the computer then transmits the answer scoring of the questions and answers to the calculation module to realize subjective manual correction.
3. The automatic paper changing system according to claim 1, wherein the calculation module adopts a deep learning method to identify the answer of the single-choice question and/or the multiple-choice question, judge the answer of the question, fill-in the blank question, and the answer score of the answer of the question and answer, and performs score summarizing calculation to obtain the test result of each answer sheet.
4. The automatic rewinding system of claim 1 wherein the master control module is a controller.
5. The automatic paper changing system according to claim 1, further comprising a cloud server, wherein the cloud server is connected to the main control module, the main control module calculates and sends the scores obtained by each answer sheet through the calculation module to the cloud server, and the cloud server stores data for data retention, collection and subsequent update.
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Effective date of registration: 20221209 Address after: 410000 Room 301, building 1-2, block A1, sunshine 100 new town, No. 518, Section 1, south 2nd Ring Road, Yuelu street, Yuelu District, Changsha City, Hunan Province (cluster registration) Applicant after: Hunan Congyi Technology Co.,Ltd. Address before: 410000 room 1958, building 20, Greenland window Jiayuan, No. 499, xiangtian Road, Yuhua District, Changsha City, Hunan Province Applicant before: Hunan Zhaoshan Intelligent Technology Co.,Ltd. |
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