CN106855948A - It is a kind of to detect that answering card scanning produces the method and device of secondary pollution - Google Patents
It is a kind of to detect that answering card scanning produces the method and device of secondary pollution Download PDFInfo
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
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Abstract
Detect that answering card scanning produces the method and device of secondary pollution the invention provides a kind of, it is intended to solve the problems, such as to detect whether answering card scanning produces secondary pollution.The answer card graphic of gray scale is divided into multiple scanning areas by the present invention, and the scanning area is divided in units of presetted pixel number, obtain some subgraphs, the scanning area is scanned successively, and count the number that grey scale pixel value in each described scanning area reaches the subgraph of default gray value, it is then based on the number to be calculated, determines whether the answering card is secondary polluted.Method or apparatus provided by the present invention can effectively detect whether the answering card produces secondary pollution in real time.
Description
Technical Field
The invention relates to the technical field of answer sheet identification, in particular to a method and a device for detecting secondary pollution generated by scanning an answer sheet.
Background
The electronic paper answer sheet is firstly needed in the online examination paper evaluation scheme based on the paper examination. A high-speed scanner is used for large-scale non-contact gray scanning imaging, which is a general technology for obtaining an electronic image of a paper answer sheet, when the answer sheet passes through the scanner, a linear photoelectric coupler (CCD) divides a scanned image into lines, the width of each line is about 10 micrometers, a light source irradiates light onto the answer sheet to generate reflected light or projected light, the reflected light or the projected light is reflected to the inside by a reflector group, the CCD is converted into currents with different sizes according to the difference of the light intensity of the reflected light, and the currents are converted into digital signals through A/D conversion processing, so that a line of image data is generated. The mechanical transmission mechanism drives the optical system and the CCD scanning device to move relatively in parallel with the question card to be scanned on the transmission guide rail, so that the question card to be scanned is scanned in one line, and finally, all original electronic images are formed.
However, if the lens array is worn or the foreign matter is adhered during the scanning process, which causes the problem card to be shielded at a certain position when the light source irradiates the problem card, and the reflected light or the projected light cannot be generated, the light signal cannot be normally acquired at the position, which is reflected on the whole image, namely a black line, as shown in fig. 6, and secondary pollution caused by the problem card scanning is formed. The black line secondary pollution may seriously cover the handwritten information of examinees, directly influences the appraising effect of the appraisal paper, is a big killer of the online appraisal paper quality and needs to be avoided as much as possible. At present, whether black line secondary pollution is generated or not can be checked only by adopting a manual checking mode, but the mode of manually checking the image only has too large workload and is not feasible.
Disclosure of Invention
The invention provides a method and a device for detecting secondary pollution generated by scanning an answer sheet, and aims to solve the problem that whether secondary pollution is generated by scanning the answer sheet cannot be detected.
The invention provides a method for detecting secondary pollution generated by scanning of an answer sheet, which comprises the following steps:
dividing the acquired gray level image of the answer sheet into a plurality of scanning areas, and dividing the scanning areas by taking the number of preset pixels as a unit to obtain a plurality of sub-images;
scanning the scanning areas in sequence, and counting the number of sub-images of which the pixel gray value reaches a preset gray value in each scanning area;
and determining whether the answer sheet is secondarily polluted or not based on the number of the sub-images of which the pixel gray values in the scanning areas reach the preset gray values.
Further, the determining whether the answer sheet is secondarily polluted based on the number of the sub-images of which the pixel gray values in the scanning areas reach the preset gray values includes: determining the percentage of the total number of the sub-images in the corresponding scanning area by using the number of the sub-images of which the pixel gray value in each scanning area reaches a preset gray value; and if the percentage of any scanning area is larger than a preset judgment value, determining that the answer sheet is secondarily polluted.
Further, the dividing the obtained grayscale image of the answer sheet into a plurality of scanning areas includes: dividing the acquired gray level image of the answer sheet into a plurality of scanning areas in the longitudinal direction by taking the number of preset pixels as the width; or dividing the acquired gray image of the answer sheet into a plurality of scanning areas in the transverse direction by taking the number of preset pixels as the width.
Further, the method further comprises: scanning the answer sheet to obtain an answer sheet image; judging whether the answer sheet image is a color image or not; and when the answer sheet image is a color image, converting the answer sheet image into the gray image.
Further, the method further comprises: and if the answer sheet is determined to be secondarily polluted, giving out a warning or prompting operation.
The invention also provides a device for detecting secondary pollution generated by scanning of the answer sheet, which comprises:
the dividing module is used for dividing the acquired gray level image of the answer sheet into a plurality of scanning areas and dividing the scanning areas by taking the number of preset pixels as a unit to obtain a plurality of sub-images;
the scanning statistical module is used for scanning the scanning areas in sequence and counting the number of sub-images of which the pixel gray values in each scanning area reach a preset gray value;
and the determining module is used for determining whether the answer sheet is secondarily polluted based on the number of the sub-images of which the pixel gray values in the scanning areas reach the preset gray values.
Further, the determining module includes:
the percentage determining module is used for determining the percentage of the total number of the sub-images in the corresponding scanning area by utilizing the number of the sub-images of which the pixel gray value in each scanning area reaches the preset gray value;
and the pollution determining module is used for determining that the answer sheet is secondarily polluted if the percentage of any scanning area is greater than a preset judgment value.
Further, the dividing module includes:
the area dividing module is used for dividing the acquired gray level image of the answer sheet into a plurality of scanning areas in the longitudinal direction by taking the number of preset pixels as the width; or dividing the acquired gray image of the answer sheet into a plurality of scanning areas in the transverse direction by taking the number of preset pixels as the width.
And the subimage dividing module is used for dividing the scanning area by taking the number of preset pixels as a unit to obtain a plurality of subimages.
Further, the apparatus further comprises:
the image acquisition module is used for scanning the answer sheet to obtain an answer sheet image;
the image judging module is used for judging whether the answer sheet image is a color image;
and the image conversion module is used for converting the answer sheet image into the gray image when the answer sheet image is a color image.
Further, the device also comprises a prompt module which is used for sending out a warning or prompt operation if the answer sheet is determined to be secondarily polluted.
Compared with the prior art, the invention has the beneficial effects that:
the invention divides a gray-scale answer sheet image into a plurality of scanning areas, divides the scanning areas by taking the number of preset pixels as a unit to obtain a plurality of sub-images, sequentially scans the scanning areas, counts the number of the sub-images of which the gray-scale value of the pixels in each scanning area reaches the preset gray-scale value, and then calculates based on the number to determine whether the answer sheet is secondarily polluted. The method or the device provided by the invention can effectively detect whether the answer sheet generates secondary pollution in real time.
Drawings
Fig. 1 is a flowchart illustrating a method for detecting secondary pollution caused by scanning an answer sheet according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for detecting secondary contamination caused by scanning an answer sheet according to a second embodiment of the present invention;
FIG. 3 is a schematic view of an apparatus for detecting secondary pollution caused by scanning an answer sheet according to a third embodiment of the present invention;
FIG. 4 is a schematic view of an apparatus for detecting secondary pollution caused by scanning an answer sheet according to a fourth embodiment of the present invention;
FIG. 5 is a schematic diagram of a default region provided in accordance with an embodiment of the present invention;
fig. 6 is a schematic diagram of secondary pollution generated by scanning of the answer sheet provided by the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As a first embodiment of the present invention, as shown in fig. 1, the present invention provides a method for detecting secondary pollution generated by scanning an answer sheet, the method comprising the following steps:
step S101: dividing the acquired gray level image of the answer sheet into a plurality of scanning areas, and dividing the scanning areas by taking the number of preset pixels as a unit to obtain a plurality of sub-images.
Step S102: and scanning the scanning areas in sequence, and counting the number of sub-images of which the pixel gray value reaches a preset gray value in each scanning area.
Step S103: and determining whether the answer sheet is secondarily polluted or not based on the number of the sub-images of which the pixel gray values in the scanning areas reach the preset gray values.
In summary, the method provided in the first embodiment of the present invention can effectively detect whether the answer sheet generates secondary pollution in real time.
As a second embodiment of the present invention, as shown in fig. 2, the present invention provides a method for detecting secondary pollution generated by scanning an answer sheet, the method comprising the following steps:
step S201: and scanning the answer sheet to obtain an answer sheet image.
Step S202: and judging whether the answer sheet image is a color image.
Step S203: and when the answer sheet image is a color image, converting the answer sheet image into the gray image.
If the answer sheet image is judged to be a color image in the step S202, converting the color answer sheet image into a gray-scale answer sheet image, and then executing a step S204; if it is determined in step S202 that the answer sheet image does not conform to the requirement standard of the gray scale image, the answer sheet image does not need to be converted, i.e., the step S203 does not need to be executed, and step S204 is directly executed.
Step S204: dividing the acquired gray level image of the answer sheet into a plurality of scanning areas, and dividing the scanning areas by taking the number of preset pixels as a unit to obtain a plurality of sub-images.
Further, the dividing the obtained grayscale image of the answer sheet into a plurality of scanning areas includes: dividing the acquired gray level image of the answer sheet into a plurality of scanning areas in the longitudinal direction by taking the number of preset pixels as the width; or dividing the acquired gray image of the answer sheet into a plurality of scanning areas in the transverse direction by taking the number of preset pixels as the width.
The preset pixel may be set in advance according to requirements, for example, the preset pixel may be set to the size of a single pixel in the answer sheet image, or may be set to the total size of every 3 consecutive pixels. In the present embodiment, the answer sheet image is divided in units of single pixels.
Step S205: and scanning the scanning areas in sequence, and counting the number of sub-images of which the pixel gray value reaches a preset gray value in each scanning area.
When the answer sheet is contaminated secondarily, the answer sheet may be contaminated horizontally as shown in fig. 6, or may be contaminated vertically, and therefore, the scanning area needs to be divided vertically or horizontally based on the image of the answer sheet for scanning. For example, in this embodiment, the preset pixels are the size of a single pixel in the answer sheet image, each line in the longitudinal direction of the answer sheet image is divided by the width of the single pixel, and each line is divided into a scanning area, then step S205 is: and scanning each line of the longitudinal scanning area, and respectively counting the number of sub-images of which the pixel gray value in each line reaches a preset gray value.
Alternatively, as shown in fig. 5, the scanning area may be divided into every N × M areas, where N represents N rows connected in the answer sheet image in the longitudinal direction, and M represents M columns connected in the answer sheet image in the transverse direction. When scanning is carried out, the number of the sub-images of which the pixel gray value reaches the preset gray value in the N-M scanning area is counted every time the N-M scanning area is scanned.
Or, the scanning area may be set to each column, and one line is scanned for each horizontal column, and the number of sub-images of which the pixel gray value of each column reaches the preset gray value is counted in sequence.
Step S206: and determining whether the answer sheet is secondarily polluted or not based on the number of the sub-images of which the pixel gray values in the scanning areas reach the preset gray values.
Further, step S206 specifically includes: determining the percentage of the total number of the sub-images in the corresponding scanning area by using the number of the sub-images of which the pixel gray value in each scanning area reaches a preset gray value; and if the percentage of any scanning area is larger than a preset judgment value, determining that the answer sheet is secondarily polluted.
In this embodiment, each row in the longitudinal direction is taken as a scanning area, and in the X-th row, it is assumed that the preset gray value is G, the number of the preset pixels in each row is L, and the preset determination value is S. And scanning the X-th line to obtain C total sub-images reaching the preset gray value G in the X-th line. Then, calculation is carried out, and the calculation formula is as follows: C/L100%.
If C/L100% > < S, it means that the answer sheet is secondarily contaminated, and if C/L100% < S, it means that the answer sheet is normal and no secondary contamination is generated.
It should be noted that the preset judgment value may be a standard numerical value, a percentage, or the like. In the embodiment, whether the answer sheet is secondarily polluted or not is judged by setting the gray value percentage of the pollution black line, so that the method has higher flexibility. In the invention, only one method for calculating and judging based on the number of the sub-images reaching the preset gray value is illustrated, and in practice, the judgment can be carried out by a plurality of calculation methods.
Step S207: and if the answer sheet is determined to be secondarily polluted, giving out a warning or prompting operation. If the answer sheet is determined to be secondarily polluted, the user can be prompted by methods of giving out warning sounds, displaying prompts on a screen, directly stopping scanning and the like.
In summary, the method provided by the second embodiment of the present invention can effectively detect whether the answer sheet generates secondary pollution in real time. Therefore, the situation that the answer sheet is secondarily polluted can be efficiently reduced, the quality of the answer sheet image is improved, and the quality of the examination paper is ensured.
As a third embodiment of the present invention, as shown in fig. 3, the present invention provides a device for detecting secondary pollution generated by scanning an answer sheet, the device comprising:
the dividing module 11 is configured to divide the obtained grayscale image of the answer sheet into a plurality of scanning areas, and divide the scanning areas by using a preset number of pixels as a unit to obtain a plurality of sub-images.
And the scanning statistical module 22 is configured to scan the scanning regions in sequence, and count the number of sub-images in each scanning region, where the gray value of a pixel in each scanning region reaches a preset gray value.
And the determining module 33 is configured to determine whether the answer sheet is secondarily polluted based on the number of the sub-images in which the gray value of the pixel in each scanning area reaches the preset gray value.
In summary, the device provided in the third embodiment of the present invention can effectively detect whether the answer sheet generates secondary pollution in real time.
As a fourth embodiment of the present invention, as shown in fig. 4, the present invention provides a device for detecting secondary pollution generated by scanning an answer sheet, the device comprising:
the image acquisition module 44 is configured to scan the answer sheet to obtain an answer sheet image;
an image judging module 55, configured to judge whether the answer sheet image is a color image;
and the image conversion module 66 is configured to convert the answer sheet image into the grayscale image when the answer sheet image is a color image.
The image judging module 55 judges whether the answer sheet image is a color image, and if the answer sheet image is a color image, the image converting module 66 converts the color answer sheet image into a gray-scale answer sheet image; if the answer sheet image is judged not to be a color image, which indicates that the answer sheet image meets the requirement standard of the gray level image, the answer sheet image does not need to be converted, that is, the image conversion module 66 does not need to do any operation.
A dividing module 11: the system is used for dividing the acquired gray level image of the answer sheet into a plurality of scanning areas and dividing the scanning areas by taking the number of preset pixels as a unit to obtain a plurality of sub-images.
Further, the dividing module 11 includes an area dividing module 101 and a sub-image dividing module 102:
the area dividing module 101 is configured to divide the acquired grayscale image of the answer sheet into a plurality of scanning areas in the longitudinal direction by taking the preset number of pixels as a width; or dividing the acquired gray image of the answer sheet into a plurality of scanning areas in the transverse direction by taking the number of preset pixels as the width.
The subimage dividing module 102 is configured to divide the scanning area by using a preset number of pixels as a unit to obtain a plurality of subimages. The preset pixel may be set in advance according to requirements, for example, the preset pixel may be set to the size of a single pixel in the answer sheet image, or may be set to the total size of every 3 consecutive pixels. In the present embodiment, the answer sheet image is divided in units of single pixels.
And the scanning statistical module 22 is configured to scan the scanning regions in sequence, and count the number of sub-images in each scanning region, where the gray value of a pixel in each scanning region reaches a preset gray value.
When the answer sheet is contaminated secondarily, the answer sheet may be contaminated horizontally as shown in fig. 6, or may be contaminated vertically, and therefore, the scanning area needs to be divided vertically or horizontally based on the image of the answer sheet for scanning. For example, in this embodiment, the preset pixels are the size of a single pixel in the answer sheet image, each vertical line of the answer sheet image is divided by the width of the single pixel, each line is divided into a scanning area, the scanning statistics module 22 scans the scanning area of each vertical line, one line and one line, and respectively counts the number of sub-images whose gray-scale values of the pixels in each line reach the preset gray-scale value.
Alternatively, as shown in fig. 5, the scanning area may be divided into every N × M areas, where N represents N rows connected in the answer sheet image in the longitudinal direction, and M represents M columns connected in the answer sheet image in the transverse direction. When scanning is carried out, the number of the sub-images of which the pixel gray value reaches the preset gray value in the N-M scanning area is counted every time the N-M scanning area is scanned.
Or, the scanning area may be set to each column, and one line is scanned for each horizontal column, and the number of sub-images of which the pixel gray value of each column reaches the preset gray value is counted in sequence.
The determination module 33: and the answer sheet is used for determining whether the answer sheet is secondarily polluted or not based on the number of the sub-images of which the pixel gray value reaches the preset gray value in each scanning area.
Further, the determining module 33 includes a percentage determining module 301 and a pollution determining module 302:
the percentage determining module 301 is configured to determine, by using the number of the sub-images whose pixel grayscale values in each of the scanning areas reach the preset grayscale value, a percentage of the total number of the sub-images in the corresponding scanning area.
A pollution determining module 302, configured to determine that the answer sheet is secondarily polluted if the percentage of any one of the scanning areas is greater than a preset determination value.
In this embodiment, each row in the longitudinal direction is taken as a scanning area, and in the X-th row, it is assumed that the preset gray value is G, the number of the preset pixels in each row is L, and the preset determination value is S. And scanning the X-th line to obtain C total sub-images reaching the preset gray value G in the X-th line. Then, calculation is carried out, and the calculation formula is as follows: C/L100%.
If C/L100% > < S, it means that the answer sheet is secondarily contaminated, and if C/L100% < S, it means that the answer sheet is normal and no secondary contamination is generated.
It should be noted that the preset judgment value may be a standard numerical value, a percentage, or the like. In the embodiment, whether the answer sheet is secondarily polluted or not is judged by setting the gray value percentage of the pollution black line, so that the method has higher flexibility. In the invention, only one method for calculating and judging based on the number of the sub-images reaching the preset gray value is illustrated, and in practice, the judgment can be carried out by a plurality of calculation methods.
The prompt module 77: and the answer sheet is used for giving out warning or prompting operation if the answer sheet is judged to be secondarily polluted. If the answer sheet is judged to be secondarily polluted, the user can be prompted by methods of giving out warning sound, displaying prompt on a screen, directly stopping scanning and the like.
In summary, the device provided in the fourth embodiment of the present invention can effectively detect whether the answer sheet generates secondary pollution in real time. Therefore, the situation that the answer sheet is secondarily polluted can be efficiently reduced, the quality of the answer sheet image is improved, and the quality of the examination paper is ensured.
As a fifth embodiment of the present invention, as shown in fig. 5, a preset area is set on the template image as a rectangular frame indicated in the figure, and the gray-level value searched and counted in the detection process is set to be generally 200, that is, the gray-level values with blackness of 0-200 are searched and counted. And then, calculating according to the count, judging with a preset percentage for judging pollution, and if judging that the secondary pollution of the black line is generated, warning to prompt a scanning operator to perform rescanning treatment.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A method for detecting secondary pollution generated by scanning an answer sheet, comprising the steps of:
dividing the acquired gray level image of the answer sheet into a plurality of scanning areas, and dividing the scanning areas by taking the number of preset pixels as a unit to obtain a plurality of sub-images;
scanning the scanning areas in sequence, and counting the number of sub-images of which the pixel gray value reaches a preset gray value in each scanning area;
and determining whether the answer sheet is secondarily polluted or not based on the number of the sub-images of which the pixel gray values in the scanning areas reach the preset gray values.
2. The method of claim 1, wherein said determining whether said answer sheet is secondarily contaminated based on the number of sub-images having pixel gray values reaching a preset gray value in each of said scanning areas comprises:
determining the percentage of the total number of the sub-images in the corresponding scanning area by using the number of the sub-images of which the pixel gray value in each scanning area reaches a preset gray value;
and if the percentage of any scanning area is larger than a preset judgment value, determining that the answer sheet is secondarily polluted.
3. The method of claim 1, wherein the dividing the acquired grayscale image of the answer sheet into a plurality of scanning areas comprises:
dividing the acquired gray level image of the answer sheet into a plurality of scanning areas in the longitudinal direction by taking the number of preset pixels as the width;
or,
and dividing the acquired gray level image of the answer sheet into a plurality of scanning areas in the transverse direction by taking the number of preset pixels as the width.
4. A method according to any one of claims 1 to 3, wherein the method further comprises:
scanning the answer sheet to obtain an answer sheet image;
judging whether the answer sheet image is a color image or not;
and when the answer sheet image is a color image, converting the answer sheet image into the gray image.
5. A method according to any one of claims 1 to 3, wherein the method further comprises:
and if the answer sheet is determined to be secondarily polluted, giving out a warning or prompting operation.
6. A device for detecting secondary pollution generated by scanning an answer sheet, comprising:
the dividing module is used for dividing the acquired gray level image of the answer sheet into a plurality of scanning areas and dividing the scanning areas by taking the number of preset pixels as a unit to obtain a plurality of sub-images;
the scanning statistical module is used for scanning the scanning areas in sequence and counting the number of sub-images of which the pixel gray values in each scanning area reach a preset gray value;
and the determining module is used for determining whether the answer sheet is secondarily polluted based on the number of the sub-images of which the pixel gray values in the scanning areas reach the preset gray values.
7. The apparatus of claim 6, wherein the determining module comprises:
the percentage determining module is used for determining the percentage of the total number of the sub-images in the corresponding scanning area by utilizing the number of the sub-images of which the pixel gray value in each scanning area reaches the preset gray value;
and the pollution determining module is used for determining that the answer sheet is secondarily polluted if the percentage of any scanning area is greater than a preset judgment value.
8. The apparatus of claim 6, wherein the partitioning module comprises:
the area dividing module is used for dividing the acquired gray level image of the answer sheet into a plurality of scanning areas in the longitudinal direction by taking the number of preset pixels as the width; or dividing the acquired gray level image of the answer sheet into a plurality of scanning areas in the transverse direction by taking the number of preset pixels as the width;
and the subimage dividing module is used for dividing the scanning area by taking the number of preset pixels as a unit to obtain a plurality of subimages.
9. The apparatus of any one of claims 6 to 8, further comprising:
the image acquisition module is used for scanning the answer sheet to obtain an answer sheet image;
the image judging module is used for judging whether the answer sheet image is a color image;
and the image conversion module is used for converting the answer sheet image into the gray image when the answer sheet image is a color image.
10. The apparatus of any one of claims 6 to 8, further comprising a prompting module to:
and if the answer sheet is determined to be secondarily polluted, giving out a warning or prompting operation.
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| CN112734705A (en) * | 2020-12-30 | 2021-04-30 | 广东德诚大数据科技有限公司 | Answer sheet abnormity detection method and device, electronic equipment and storage medium |
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| CN105335741A (en) * | 2015-10-28 | 2016-02-17 | 深圳怡化电脑股份有限公司 | Smudged serial number classification method and system |
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