CN112733644A - Filling point identification system and method based on scanning identification - Google Patents
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Abstract
The invention provides a filling point identification system based on scanning identification, which comprises a scanning template manufacturing module, a high-speed scanner, an answer sheet information identification module, a marking line module, a judgment module and a manual processing module, wherein the scanning template manufacturing module is used for manufacturing a filling point; and the identification method of the filling point identification system based on scanning identification is provided, and comprises six steps S1-S6. In conclusion, the method can not only accurately and quickly identify the filling point information of the objective questions without a large amount of manual intervention, but also greatly improve the working efficiency and the accuracy, effectively ensure the seriousness, the authority and the fairness of the examination and ensure the smooth operation of the scanning work.
Description
Technical Field
The invention relates to the technical field of scanning identification, in particular to a filling point identification system and method based on scanning identification.
Background
Under the requirements of policies and markets, the traditional scanning system cannot meet the requirements of schools at present, but the existing scanning system has the defects of high answer sheet cost, high requirements on paper and printing, more limitations on answer sheet formats, high requirements on scanning equipment environment and the like, the scanning system is difficult to popularize and apply in common examinations due to the high scanning cost, and examinations at the basic education stage have quite frequent characteristics, such as joint examinations, monthly examinations, periodic tests, various competitions and the like at the end of the term, and the scanning system is required to be applied to complete related topic scanning. Therefore, how to improve the scanning efficiency and accuracy of the scanning system while ensuring low cost is an urgent issue to be solved at present.
Disclosure of Invention
In order to solve the technical problems, the filling point identification system and method based on scanning identification are provided, and the filling point identification system and method are combined with an image data acquisition technology, can adapt to various answer sheet styles and improve the accuracy of filling point identification.
In order to achieve the purpose, the invention adopts the technical scheme that:
a filling point identification system and method based on scanning identification comprises the following steps: the system comprises a scanning template manufacturing module, a high-speed scanner, an answer sheet information identification module, a marking line module, a judgment module and a manual processing module;
the scanning template manufacturing module is respectively connected with the answer sheet information identification module and the high-speed scanner; the answer sheet information identification module is respectively connected with the scanning template manufacturing module, the high-speed scanner and the marking line module; the marking line module is connected with the judging module; the judgment module is connected with the manual processing module;
the scanning template manufacturing module is used for framing a positioning mark point and an objective question filling point area on the standard answer sheet and marking the attribute of an objective question and the coordinate position of the objective question filling point on the standard answer sheet;
the high-speed scanner is used for scanning answer sheets of examinees into images in batches and storing the images in the database server;
the answer sheet information identification module is used for carrying out one-to-one correspondence on the examinee answer sheet image and the position information of the standard answer sheet;
the marking line module is used for respectively and uniformly dividing A horizontal marking lines and B vertical marking lines in the horizontal and vertical directions of the rectangular filling point image and uniformly dividing the rectangular filling point image into X small cutting blocks;
the judging module is used for counting the number of 0-value pixel points in each small cutting block region of a single rectangular filling point image;
and the manual processing module is used for receiving the choice questions needing manual processing.
Preferably, the expression of the X small cutting blocks is:
X＝(A+1)*(B+1)。
a method for identifying a filling point identification system based on scanning identification comprises the following steps:
s1, manufacturing a scanning template by using a scanning template manufacturing module, and storing information of the scanning template in a data server;
s2, scanning the answer sheet of the examinee into an image file by using a high-speed scanner, and storing the image file in a database server;
s3, converting the format of the image, and carrying out coordinate correspondence on the standard answer sheet image and the image of the examinee answer sheet based on a template matching method to obtain the size of a matrix filling point;
s4, uniformly dividing A horizontal marking lines and B vertical marking lines in the horizontal direction and the vertical direction of the rectangular filling points respectively to obtain X small cutting blocks;
s5, counting the number of 0-value pixel points in the X small cutting block regions of the rectangular filling points; respectively comparing the 0-value pixel value occupation ratio and the 0-value cutting block quantity in a single small cutting block with respective threshold values to judge whether the rectangular filling points are effective or not; then judging whether the selection questions are adopted or not according to the number of the effective filling points;
s6, marking the unadopted choice questions as manual processing, and manually determining the effective filling quantity of the choice questions by the examination staff.
Preferably, the step S1 is specifically:
selecting a positioning mark point and an objective question filling point area on a standard answer sheet image, marking the attribute of an objective question and the coordinate position of the objective question filling point; then recording the size and the coordinate position of each frame selection box, generating a file storage scanning template information, and storing the file storage scanning template information to a data server;
the selection questions comprise single selection questions and multiple selection questions.
Preferably, the step S3 is specifically:
s31, obtaining scanning template information and an image of an answer sheet of the examinee in the database server, and converting the format of the image of the answer sheet;
s32, based on a template matching method, enabling the examinee answer sheet image and the standard answer sheet image to be in the same coordinate system;
s33, finding corresponding coordinates of each part in the answer sheet image of the examinee according to the coordinates of the positioning mark points of the scanning template information to obtain the position information of each positioning mark point; then, acquiring filling point position information of the objective question area in corresponding coordinates of each part in the answer sheet image of the examinee;
s34, obtaining the 4-angle coordinate position of a single filling point according to the filling point position information of the objective question area, and calculating the transverse side length and the longitudinal side length of the rectangular filling point;
and S35, performing binarization processing on the rectangular filling point image.
Preferably, the binarized image has only two values, 0 and 255 respectively.
Preferably, the step S5 is specifically:
s51, counting the number of 0-value pixel points in each small cutting block region of a single rectangular filling point;
s52, comparing the pixel value of the 0-value pixel point in the single small cut block with a threshold value M, and counting the number of all 0-value cut blocks in the single rectangular filling point;
s53, comparing the ratio of the number of the 0-value cutting blocks in the X number with a threshold value, and judging whether the single rectangular filling point is an effective filling point;
s54, calculating the number of effective filling points of each option of each choice question, and judging whether the choice questions are adopted or not according to the number of the effective filling points;
preferably, the step S52 is specifically: and comparing the pixel value ratio of the 0-value pixel points in the single small cutting block with the M value, marking the small cutting blocks exceeding the M value as 0-value cutting blocks, and then counting the number of all the 0-value cutting blocks in the single rectangular filling point.
Preferably, the judgment basis of step S53 is:
judging whether the ratio of the number of the 0-value cutting blocks shared in the single rectangular filling point image in the X number exceeds the N value, and if the ratio is greater than the N value, judging that the single rectangular filling point is an effective filling point; otherwise, it is an invalid fill point.
Preferably, the judgment in step S54 is based on:
calculating the number of effective filling points of each option of each choice question, if the choice question type is a single choice question, judging whether the number of the effective filling points of the single choice question is more than 1, if so, not adopting the effective filling points of the single choice question, and marking the single choice question as manual processing; otherwise, the product is normally adopted;
if the selected question type is a multiple choice question, judging whether the number of effective filling points of the multiple choice question is more than or equal to 1, and if the number of effective filling points of the multiple choice question is more than or equal to 1, normally adopting the multiple choice question; otherwise, none is adopted.
Compared with the prior art, the invention has the beneficial effects that:
the invention can not only accurately and quickly identify the filling point information of the objective questions without a large amount of manual intervention, but also greatly improve the working efficiency and the accuracy, effectively ensure the seriousness, the authority and the fairness of the examination and ensure the smooth operation of the scanning work.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a block diagram of a system for identifying a filling point based on scanning identification according to the present invention;
FIG. 2 is a flowchart of an identification method of a filling point identification system based on scanning identification according to the present invention.
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example 1
Referring to fig. 1, this embodiment 1 provides a filling point identification system based on scanning identification, which includes a scanning template making module, a high-speed scanner, an answer sheet information identification module, a marking line module, a judgment module, and a manual processing module;
the scanning template manufacturing module is respectively connected with the answer sheet information identification module and the high-speed scanner; the answer sheet information identification module is respectively connected with the scanning template manufacturing module, the high-speed scanner and the marking line module; the marking line module is connected with the judging module; the judgment module is connected with the manual processing module;
a scanning template manufacturing module: and on the standard answer sheet image, framing and selecting a positioning mark point, an objective question filling point area, marking the attribute of each objective question and marking the coordinate position of the framing and selecting objective question filling point to generate an xml file for storing scanning template information, and storing the xml file into a data server so as to perform batch image identification on the answer sheet.
A high-speed scanner: and scanning the answer sheets of the examinees in batches into picture images, and storing the scanned image files into a database server.
Answer sheet information identification module: firstly, obtaining the information of a scanning template and an image of an examinee answer sheet from a database server. And converting the answer sheet image into 256 images in a BMP format with gray scale. Based on the template matching method, firstly correcting the image of the examinee answer sheet to be in the same coordinate system with the standard answer sheet image of the scanning template, and finding out corresponding coordinates of each part in the image of the examinee answer sheet according to the coordinates of the positioning mark points of the scanning template information to obtain the position information of each positioning mark point. After the positioning mark points are obtained, the filling point position information of the objective question area is obtained according to the corresponding coordinates of each part in the answer sheet image of the examinee.
And acquiring the coordinate position of 4 corners of a single filling point, thereby calculating the transverse side length and the longitudinal side length of the rectangular filling point. The rectangular fill-in dot image is subjected to binarization processing, and the binarized image has only two values of 0 and 255.
A marking line module: the marking line module is used for respectively and uniformly distributing A horizontal marking lines and B vertical marking lines in the horizontal direction and the vertical direction of the rectangular filling point image. (note: A, B parameter values may be adjusted according to traffic conditions.) the rectangular filler point image is then divided evenly along the marked lines into X small cut pieces, where X is (a +1) × (B + 1).
A judging module: the judging module is used for counting the number of 0-value pixel points in each small cutting block region of a single rectangular filling point image. If the 0-value pixel value ratio in a single small cutting block exceeds the M value, marking the small cutting block as a 0-value cutting block (the M parameter value can be adjusted according to the service condition) in the same way, counting the number of the 0-value cutting blocks shared in the single rectangular filling point image, and further calculating whether the ratio of the X number exceeds the N value. (Note: the N parameter value can be adjusted according to the service condition.)
And if the ratio of the number of the 0-value cutting blocks shared in the single rectangular filling point image in the X number exceeds the N value, judging the filling point as effective filling. And if the value is not larger than the N value, judging the filling point as invalid filling.
And further calculating whether each option filling point of each choice question is effective filling. If the selected question is a single-choice question, if more than 1 effective filling is calculated, the effective filling of the selected question is not adopted, and the selected question is marked to be manually processed. If 1 effective filling is calculated, the method is adopted normally. If the selection questions are multiple selection questions, if more than or equal to 1 effective filling is calculated, the selection questions are adopted normally.
A manual processing module: the choice questions with the manual processing indicia are received and the test clerk manually examines the questionable choice questions to determine the amount of active fills.
As shown with reference to figure 2 of the drawings,
in conclusion, the method can not only accurately and quickly identify the filling point information of the objective questions without a large amount of manual intervention, but also greatly improve the working efficiency and the accuracy, effectively ensure the seriousness, the authority and the fairness of the examination and ensure the smooth operation of the scanning work.
Embodiment 1 further provides an identification method of a full-filling point identification system based on scanning identification, which includes the following specific steps:
and S1, manufacturing a scanning template by using the scanning template manufacturing module. And taking an answer sheet without filling marks as a standard answer sheet image of the scanning template. And (4) framing and selecting the positioning mark points and the objective question areas on the standard answer sheet image and marking the attribute of each objective question (wherein the attribute of the selected question comprises a single-choice question and a multi-choice question). After the answer sheet is selected, the size and the coordinate position of each box are recorded, an xml file is generated to store scanning template information and is stored in a data server, and therefore batch image recognition is conducted on the answer sheet.
S2, the examiner scans the examinee' S answer sheet into image files for storage in the database server for answer sheet information identification using a high-speed scanner, typically at a resolution of 150 dpi.
S3, the answer sheet information identification module firstly obtains the scanning template information and the examinee answer sheet image from the database server. And converting the answer sheet image into 256 images in a BMP format with gray scale. Based on the template matching method, firstly correcting the image of the examinee answer sheet to be in the same coordinate system with the standard answer sheet image of the scanning template, and finding out corresponding coordinates of each part in the image of the examinee answer sheet according to the coordinates of the positioning mark points of the scanning template information to obtain the position information of each positioning mark point. After the positioning mark points are obtained, the filling point position information of the objective question area is obtained according to the corresponding coordinates of each part in the answer sheet image of the examinee.
And acquiring the coordinate position of 4 corners of a single filling point, thereby calculating the transverse side length and the longitudinal side length of the rectangular filling point. The rectangular fill-in dot image is subjected to binarization processing, and the binarized image has only two values of 0 and 255.
And S4, the marking line module respectively and uniformly distributes A horizontal marking lines and B vertical marking lines to the horizontal direction position and the vertical horizontal direction of the rectangular filling point image. (note: A, B parameter values may be adjusted according to traffic conditions.) the rectangular filler point image is then divided evenly along the marked lines into X small cut pieces, where X is (a +1) × (B + 1).
S5, the judging module counts the number of 0-value pixel points in each small cutting block region of a single rectangular filling point image. If the 0-value pixel value ratio in a single small cutting block exceeds the M value, marking the small cutting block as a 0-value cutting block (the M parameter value can be adjusted according to the service condition) in the same way, counting the number of the 0-value cutting blocks shared in the single rectangular filling point image, and further calculating whether the ratio of the X number exceeds the N value. (Note: the N parameter value can be adjusted according to the service condition.)
And if the ratio of the number of the 0-value cutting blocks shared in the single rectangular filling point image in the X number exceeds the N value, judging the filling point as effective filling. And if the value is not larger than the N value, judging the filling point as invalid filling.
And further calculating whether each option filling point of each choice question is effective filling. If the selected question is a single-choice question, if more than 1 effective filling is calculated, the effective filling of the selected question is not adopted, and the selected question is marked to be manually processed. If 1 effective filling is calculated, the method is adopted normally. If the selection questions are multiple selection questions, if more than or equal to 1 effective filling is calculated, the selection questions are adopted normally.
S6, the manual processing module receives the option questions marked for manual processing, and the examination staff manually detects the option questions in question to determine the effective filling quantity.
The above-described embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solutions of the present invention can be made by those skilled in the art without departing from the spirit of the present invention, and the technical solutions of the present invention are within the scope of the present invention defined by the claims.
Claims (10)
1. A filling point identification system based on scanning identification is characterized by comprising a scanning template manufacturing module, a high-speed scanner, an answer sheet information identification module, a marking line module, a judgment module and a manual processing module;
the scanning template manufacturing module is respectively connected with the answer sheet information identification module and the high-speed scanner; the answer sheet information identification module is respectively connected with the scanning template manufacturing module, the high-speed scanner and the marking line module; the marking line module is connected with the judging module; the judgment module is connected with the manual processing module;
the scanning template manufacturing module is used for framing a positioning mark point and an objective question filling point area on the standard answer sheet and marking the attribute of an objective question and the coordinate position of the objective question filling point on the standard answer sheet;
the high-speed scanner is used for scanning answer sheets of examinees into images in batches and storing the images in the database server;
the answer sheet information identification module is used for carrying out one-to-one correspondence on the examinee answer sheet image and the position information of the standard answer sheet;
the marking line module is used for respectively and uniformly dividing A horizontal marking lines and B vertical marking lines in the horizontal and vertical directions of the rectangular filling point image and uniformly dividing the rectangular filling point image into X small cutting blocks;
the judging module is used for counting the number of 0-value pixel points in each small cutting block region of a single rectangular filling point image;
and the manual processing module is used for receiving the choice questions needing manual processing.
2. The system of claim 1, wherein the X small cut blocks are expressed as:
X＝(A+1)*(B+1)。
3. a method for identifying a filling point identification system based on scanning identification according to any claim 1-2, characterized by comprising the following steps:
s1, manufacturing a scanning template by using a scanning template manufacturing module, and storing information of the scanning template in a data server;
s2, scanning the answer sheet of the examinee into an image file by using a high-speed scanner, and storing the image file in a database server;
s3, converting the format of the image, and carrying out coordinate correspondence on the standard answer sheet image and the image of the examinee answer sheet based on a template matching method to obtain the size of a matrix filling point;
s4, uniformly dividing A horizontal marking lines and B vertical marking lines in the horizontal direction and the vertical direction of the rectangular filling points respectively to obtain X small cutting blocks;
s5, counting the number of 0-value pixel points in the X small cutting block regions of the rectangular filling points; respectively comparing the 0-value pixel value occupation ratio and the 0-value cutting block quantity in a single small cutting block with respective threshold values to judge whether the rectangular filling points are effective or not; then judging whether the selection questions are adopted or not according to the number of the effective filling points;
s6, marking the unadopted choice questions as manual processing, and manually determining the effective filling quantity of the choice questions by the examination staff.
4. The method for identifying a filling point identification system based on scan identification according to claim 3, wherein the step S1 is specifically as follows:
selecting a positioning mark point and an objective question filling point area on a standard answer sheet image, marking the attribute of an objective question and the coordinate position of the objective question filling point; then recording the size and the coordinate position of each frame selection box, generating a file storage scanning template information, and storing the file storage scanning template information to a data server;
the selection questions comprise single selection questions and multiple selection questions.
5. The method for identifying a filling point identification system based on scan identification according to claim 4, wherein the step S3 specifically comprises:
s31, obtaining scanning template information and an image of an answer sheet of the examinee in the database server, and converting the format of the image of the answer sheet;
s32, based on a template matching method, enabling the examinee answer sheet image and the standard answer sheet image to be in the same coordinate system;
s33, finding corresponding coordinates of each part in the answer sheet image of the examinee according to the coordinates of the positioning mark points of the scanning template information to obtain the position information of each positioning mark point; then, acquiring filling point position information of the objective question area in corresponding coordinates of each part in the answer sheet image of the examinee;
s34, obtaining the 4-angle coordinate position of a single filling point according to the filling point position information of the objective question area, and calculating the transverse side length and the longitudinal side length of the rectangular filling point;
and S35, performing binarization processing on the rectangular filling point image.
6. The recognition method of recognition by a fill-in point recognition system based on scan recognition according to claim 5, wherein the binarized image has only two values, 0 and 255 respectively.
7. The method for identifying a filling point identification system based on scan identification according to claim 6, wherein the step S5 specifically comprises:
s51, counting the number of 0-value pixel points in each small cutting block region of a single rectangular filling point;
s52, comparing the pixel value of the 0-value pixel point in the single small cut block with a threshold value M, and counting the number of all 0-value cut blocks in the single rectangular filling point;
s53, comparing the ratio of the number of the 0-value cutting blocks in the X number with a threshold value, and judging whether the single rectangular filling point is an effective filling point;
and S54, calculating the number of effective filling points of each option of each choice question, and judging whether the choice questions are adopted according to the number of the effective filling points.
8. The method for identifying a filling point identification system based on scan identification according to claim 7, wherein the step S52 specifically comprises: and comparing the pixel value ratio of the 0-value pixel points in the single small cutting block with the M value, marking the small cutting blocks exceeding the M value as 0-value cutting blocks, and then counting the number of all the 0-value cutting blocks in the single rectangular filling point.
9. The recognition method of recognition by the fill-in point recognition system based on scan recognition according to claim 7, wherein the step S53 is determined according to the following steps:
judging whether the ratio of the number of the 0-value cutting blocks shared in the single rectangular filling point image in the X number exceeds the N value, and if the ratio is greater than the N value, judging that the single rectangular filling point is an effective filling point; otherwise, it is an invalid fill point.
10. The recognition method of recognition by the fill-in point recognition system based on scan recognition according to claim 7, wherein the judgment of the step S54 is based on:
calculating the number of effective filling points of each option of each choice question, if the choice question type is a single choice question, judging whether the number of the effective filling points of the single choice question is more than 1, if so, not adopting the effective filling points of the single choice question, and marking the single choice question as manual processing; otherwise, the product is normally adopted;
if the selected question type is a multiple choice question, judging whether the number of effective filling points of the multiple choice question is more than or equal to 1, and if the number of effective filling points of the multiple choice question is more than or equal to 1, normally adopting the multiple choice question; otherwise, none is adopted.
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