A method, system, terminal and electronic device for automatic collection of examination paper information

Abstract

The present application relates to a method, system, terminal and electronic device for automatic collection of examination paper information, which belongs to the field of information collection. Among them, a method for automatic collection of examination paper information includes obtaining an image to be collected and identification information, and retrieving a standard image corresponding to the image to be collected according to the identification information; obtaining the coordinate information of the information to be collected after positioning the image to be collected; determining whether the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected; if so, collecting the information to be collected in the area corresponding to the coordinate information, and adding the information to be collected to the standard image according to the identification information and the coordinate information. The present application has the effect of improving the accuracy of collecting paper examination paper information.

Description

Technical Field

[0001] This application relates to the field of information collection, and in particular to an automated method, system, terminal, and electronic device for collecting examination paper information. Background Art

[0002] Currently, in schools, evaluation and practice are essential links. During students' exams, schools distribute self-published examination papers for students to answer. Students will answer the exam questions on the papers, and finally, the completed papers will be collected by the marking teachers, who will then grade the papers.

[0003] After the teachers finish grading the papers, the schools will choose to input the papers into the computer, and then collect information for each paper. The collected information will be analyzed and sorted, and then sent to the designated students in the form of a wrong-question notebook or exercise set. Therefore, the information collection of examination papers is a very important link.

[0004] Regarding the above-related technologies, the inventors found that: currently, the method of collecting information from examination papers is through image recognition, but the process of image recognition is relatively cumbersome, time-consuming, and inefficient. Moreover, using image recognition to collect information from examination papers will result in inaccurate collected information. Summary of the Invention

[0005] This application provides an automated method, system, terminal, and electronic device for collecting examination paper information, which has the characteristic of improving the accuracy of collecting information from paper examination papers.

[0006] The first objective of this application is to provide an automated method for collecting examination paper information.

[0007] The above first objective of this application is achieved through the following technical solutions:

[0008] An automated method for collecting examination paper information includes:

[0009] Obtain the image of the examination paper to be collected and the identification information, and retrieve the standard image corresponding to the image of the examination paper to be collected according to the identification information;

[0010] After positioning the image of the examination paper to be collected, obtain the coordinate information of the information to be collected;

[0011] Determine whether the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected;

[0012] If so, collect the information to be collected in the area corresponding to the coordinate information, and add the information to be collected to the standard image according to the identification information and the coordinate information, and add the information to be collected to the standard image according to the identification information and the coordinate information.

[0013] By adopting the above technical solution, first obtain the test paper image to be collected and the identification information, then retrieve the corresponding standard image according to the identification information, then locate the test paper image to be collected, and obtain the information to be collected in the test paper image to be collected, and then add the information to be collected into the standard image; in this way, the accuracy and convenience of collecting paper test paper information are improved.

[0014] In a preferred example of the present application, it can be further configured that the step of obtaining the test paper image to be collected and the identification information includes:

[0015] Obtain the image to be corrected according to the imaging device;

[0016] Obtain the identification information from the image to be corrected according to the feature recognition technology;

[0017] The identification information includes a specific straight line element, a specific rectangular frame element, a specific identification element, and a digital identification element.

[0018] In a preferred example of the present application, it can be further configured that the step of retrieving the standard image corresponding to the test paper image to be collected according to the identification information includes retrieving the standard image corresponding to the digital identification element from the database according to the digital identification element, and this standard image is the standard image corresponding to the test paper image to be collected.

[0019] In a preferred example of the present application, it can be further configured that the step of retrieving the standard image corresponding to the test paper image to be collected according to the identification information further includes:

[0020] Calculate the first distance value between the specific straight line element and the specific identification element;

[0021] Calculate the second distance value between the specific rectangular frame element and the specific identification element;

[0022] Obtain the distance identification information according to the first distance value and the second distance value;

[0023] Retrieve the standard image corresponding to the distance identification information from the database according to the distance identification information, and this standard image is the standard image corresponding to the test paper image to be collected.

[0024] In a preferred example of the present application, it can be further configured that the step of obtaining the coordinate information of the information to be collected after positioning the test paper image to be collected includes:

[0025] Obtain the question information in the test paper image to be collected according to the test paper image to be collected;

[0026] Locate the rectangular frame in each question according to the question information and the contour search algorithm and obtain the coordinate information of the rectangular frame;

[0027] The information in the rectangular box is the information to be collected.

[0028] In a preferred example of the present application, it can be further configured that the step of determining whether the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected includes:

[0029] After identifying the rectangular box using feature recognition technology, feature information is obtained;

[0030] The feature information is compared with the pre-stored feature information. If the two are the same, it indicates that the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected.

[0031] In a preferred example of the present application, it can be further configured that: after collecting the information to be collected in the area corresponding to the coordinate information, the information to be collected is processed and stored in the cloud server.

[0032] The second object of the present application is to provide an automated test paper information collection system.

[0033] The above second object of the present application is achieved through the following technical solutions:

[0034] An automated test paper information collection system, including:

[0035] An acquisition module, configured to acquire the test paper image to be collected and identification information, and retrieve the standard image corresponding to the test paper image to be collected according to the identification information;

[0036] A positioning module, configured to perform positioning on the test paper image to be collected to obtain the coordinate information of the information to be collected;

[0037] A determination module, configured to determine whether the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected;

[0038] An acquisition module, configured to acquire the information to be collected in the area corresponding to the coordinate information.

[0039] The third object of the present application is to provide an intelligent terminal.

[0040] The above third object of the present application is achieved through the following technical solutions:

[0041] An intelligent terminal, including a memory and a processor, and computer program instructions of the above-mentioned automated test paper information collection method that can be loaded and executed by the processor are stored on the memory.

[0042] The fourth object of the present application is to provide a computer medium that can store corresponding programs.

[0043] The fourth above-mentioned application objective of the present application is achieved through the following technical solutions:

[0044] A computer-readable storage medium stores a computer program that can be loaded and executed by a processor to perform any of the above-mentioned automated paper information collection methods.

[0045] In summary, the present application includes at least one of the following beneficial technical effects:

[0046] By processing the paper image to be collected, the information to be collected in the paper image to be collected is obtained, and then the information to be collected is added to the standard image through the positioning information; in this way, compared with the method of collecting the entire image through image recognition, it is more convenient, only the information in the area corresponding to the positioning information needs to be collected, and then the corresponding information is added to the standard image to complete the collection of paper information, improving the accuracy of collecting paper information. Description of the Drawings

[0047] Figure 1 is a schematic flowchart of an automated paper information collection method in an embodiment of the present application.

[0048] Figure 2 is a schematic structural diagram of an automated paper information collection system in an embodiment of the present application.

[0049] Description of the reference numerals: 1. Acquisition module; 2. Positioning module; 3. Determination module; 4. Collection module. Detailed Embodiment

[0050] This specific embodiment is only an interpretation of the present application, and it is not a limitation of the present application. Those skilled in the art can make modifications to this embodiment without creative contributions according to their needs after reading this specification, but as long as they are within the scope of the claims of the present application, they are protected by the patent law.

[0051] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0052] The following further describes in detail the embodiments of the present application with reference to the accompanying drawings of the specification.

[0053] The present application provides an automated paper information collection method, and the main process of the method is described as follows.

[0054] AsFigure 1 as shown in

[0055] Step S101: Obtain the test paper image to be collected and identification information, and retrieve the standard image corresponding to the test paper image to be collected according to the identification information.

[0056] Step S102: After positioning the test paper image to be collected, obtain the coordinate information of the information to be collected.

[0057] Step S103: Determine whether the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected.

[0058] Step S104: If so, collect the information to be collected in the area corresponding to the coordinate information, and add the information to be collected to the standard image according to the identification information and the coordinate information.

[0059] It can be understood that in the embodiments of the present application, the method for collecting test paper information is for paper test papers and is manually marked, not for electronic marking.

[0060] Before collecting information on the test paper, it is necessary to first obtain the image of the test paper to be collected, and then perform corresponding processing on the image; that is, first obtain the test paper image to be collected and the identification information; in the embodiments of the present application, the steps for obtaining the test paper image to be collected and the identification information are to obtain the image to be corrected according to the imaging device, and then obtain the identification information from the image to be corrected according to the feature recognition technology; among them, the identification information includes specific line elements, specific rectangular frame elements, specific identification elements, and digital identification elements.

[0061] After obtaining the test paper image to be collected and the identification information, it is necessary to retrieve the standard image corresponding to the test paper image to be collected according to the identification information; it can be understood that the test paper image to be collected here refers to the test paper for which information needs to be collected, and there are answers filled in by students on the test paper, while the standard image refers to the blank test paper stored in advance in the server that is the same as this page of the test paper, and the purpose of collecting test paper information is to add the answers filled in by students and the teacher's marking to the blank test paper; in the embodiments of the present application, the steps for retrieving the standard image corresponding to the test paper image to be collected according to the identification information include retrieving the standard image corresponding to the digital identification element from the database according to the digital identification element, and this standard image is the standard image corresponding to the test paper image to be collected; the digital identification element here refers to a string of numbers on the edge of the test paper, and each page of the test paper has its own string of numbers, and it is possible to identify which specific page of the test paper it is through this string of numbers. In this way, the test paper image to be collected can be directly identified, and then the corresponding standard image can be directly retrieved.

[0062] However, when using the above method for recognition, situations such as incorrect digit recognition may occur, and the recognition is relatively unstable. Therefore, when there is an incorrect digit recognition, the specific steps for retrieving the standard image corresponding to the test paper image to be collected according to the identification information are as follows.

[0063] Calculate the first distance value between a specific straight-line element and a specific identification element; calculate the second distance value between a specific rectangular frame element and a specific identification element; obtain distance identification information based on the first distance value and the second distance value; retrieve the standard image corresponding to the distance identification information from the database, and this standard image is the standard image corresponding to the test paper image to be collected; it can be understood that the content on each test paper is different, so the areas that need to be filled in and the areas marked by the teacher on the test paper are also different; in the embodiments of the present application, the straight-line element refers to the area where students need to fill in the blanks, the rectangular frame element refers to the area where the teacher needs to mark, and the identification element refers to the corner points at the edge of the test paper. Multiple corner points are set at the edge of each test paper for positioning; and the specific straight-line element mentioned in the above recognition information refers to a specific straight-line element, which is the specified straight-line element at the specified position, and the specific rectangular frame element refers to a specific rectangular frame element, which is the specified rectangular frame element at the specified position; it can be understood that in the test papers in the embodiments of the present application, each straight-line element is followed by a rectangular frame element, and the teacher needs to mark each area where the student fills in the blanks; and the specific identification element refers to the specified identification element at the specified position; the specified position is the same in each test paper.

[0064] After obtaining the specific straight-line element, specific identification element, and specific rectangular frame element, calculate the first distance value between the specific straight-line element and the specific identification element, and the second distance value between the specific rectangular frame element and the specific identification element respectively. After obtaining the two distance values, calculate the ratio of the two distance values, and this ratio is the distance identification information; then match this ratio with the preset ratio in the database. When the two match successfully, the standard image corresponding to the preset ratio is the standard image corresponding to the test paper image to be collected; in this way, when the digital identification element is recognized incorrectly, the test paper image to be collected can be recognized, and since each test paper is different, the ratio calculated based on the specific straight-line element, specific identification element, and specific rectangular frame element in each test paper is different. In this way, the unique standard image can be found, and this standard image is the standard image corresponding to the graphic to be collected.

[0065] After obtaining the standard image, it is necessary to collect information from the test paper image to be collected; in the embodiment of the present application, when collecting information from the test paper image to be collected, only the student's answer content and the teacher's marking content need to be collected. The test paper in the embodiment of the present application is a special test paper with special answer boxes and marking boxes. Among them, the shapes of the answer boxes are different for different types of questions, but the marking boxes are all the same rectangular boxes; therefore, only the information of the answer boxes and the marking boxes needs to be collected. Compared with the overall image recognition, the information collection is more convenient and direct, and more accurate and convenient.

[0066] In the embodiment of the present application, the steps of obtaining the coordinate information of the information to be collected after positioning the test paper image to be collected are as follows: obtaining the question information in the test paper image to be collected according to the test paper image to be collected; positioning the rectangular boxes in each question according to the question information and the contour search algorithm and obtaining the coordinate information of the rectangular boxes. The information in the rectangular boxes is the information to be collected; it can be understood that there are multiple questions on each test paper. First, the test paper is decomposed into multiple regions, and each region is a question. Then, in each question, the rectangular boxes in the region where the question is located are positioned by using the contour search algorithm, and the coordinate information of the rectangular boxes is obtained. The content in the rectangular boxes is the information to be collected; it can be understood that the rectangular box here is an upper-level term, which is a general term for the answer box and the marking box. Specifically, after obtaining the positioning information of the rectangular box, it is necessary to distinguish the answer box and the marking box in the rectangular box; among them, the marking box is a square box, and all the marking boxes are the same. Therefore, only the square boxes in the rectangular box need to be screened out; however, it does not rule out the situation where the answer box is also a square box. Therefore, when the blank test paper, that is, the standard image, is input into the database, data analysis can be performed on the standard image to obtain the length-width ratio and coordinate information of the answer box under each question in the test paper. Then, after retrieving the standard image, the corresponding rectangular box can be located according to the pre-stored length-width ratio and coordinate information of the answer box; in this way, the positioning and recognition of the rectangular box in the test paper image to be collected can be realized. When the rectangular box is located, the information to be collected in the rectangular box can be obtained.

[0067] During the process of recognizing the rectangular frame, it is also necessary to determine whether the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected. The specific steps are as follows: After recognizing the rectangular frame using feature recognition technology, feature information is obtained; the feature information is compared with the pre-stored feature information. If the two are the same, it means that the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected; it can be understood that when recognizing the rectangular frame, there may be a situation where there is already a rectangular frame under the question in the test paper. For example, in a geometry question in a math test paper, etc. In response to this situation, after recognizing the rectangular frame, the information in the rectangular frame is not the answer information that needs to be collected. Therefore, this situation needs to be screened; specifically, after using feature recognition technology to recognize the rectangular frame, feature information is obtained. Here, the feature information is different for different answer boxes and judgment boxes in the rectangular frame; among them, the feature information of the answer box is the aspect ratio and positioning information. For the answer box, it is relatively easy to make a judgment. The shapes of the answer boxes in each question are different. Therefore, only by the aspect ratio and positioning information of the answer box can the screening of the answer box be achieved; for the judgment box, each judgment box is the same, and the judgment box in the embodiment of the present application is a square box, and there are a plurality of small protrusions provided at the inner edge of the box. These plurality of small protrusions are the feature information. Only when the rectangular frame is a square box and there are a plurality of small protrusions provided at the inner edge of the box does it mean that the rectangular frame is a judgment box; in this way, the information to be collected in the area corresponding to the coordinate information is judged, reducing the possibility that the collected information is not the answer information, and improving the accuracy of test paper recognition and information collection.

[0068] After collecting the test paper information, the scanned image can be uploaded to the server, and the information to be collected is processed and stored in the cloud server; the information to be collected includes the student's answer information, the teacher's marking information, and the corresponding question information; then, through the analysis and processing of the information to be collected, the student's wrong answers can be sorted into a wrong question set, and all the questions can also be sorted into exercises for the student to practice.

[0069] By collecting the test paper information in the above-mentioned manner, the accuracy and convenience of collecting paper test paper information are improved, the possibility of errors in test paper information collection is reduced, the working efficiency of test paper information collection work is improved, the working time of the collection work is reduced, and through the analysis and processing of the test paper information, the teaching quality of students is improved.

[0070] This application also provides a test paper information automatic collection system, such as Figure 2As shown in the figure, an automated test paper information collection system includes an acquisition module 1, which is used to acquire the test paper image to be collected and identification information, and retrieve the standard image corresponding to the test paper image to be collected according to the identification information; a positioning module 2, which is used to position the test paper image to be collected to obtain the coordinate information of the information to be collected; a determination module 3, which is used to determine whether the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected; and a collection module 4, which is used to collect the information to be collected in the area corresponding to the coordinate information, and add the information to be collected to the standard image according to the identification information and the coordinate information.

[0071] In order to better execute the program of the above method, the present application also provides an intelligent terminal, which includes a memory and a processor.

[0072] Among them, the memory can be used to store instructions, programs, codes, code sets or instruction sets. The memory can include a program storage area and a data storage area. The program storage area can store instructions for implementing the operating system, instructions for at least one function, and instructions for implementing the above-mentioned automated test paper information collection method, etc.; the data storage area can store data involved in the above-mentioned automated test paper information collection method, etc.

[0073] The processor can include one or more processing cores. The processor runs or executes instructions, programs, code sets or instruction sets stored in the memory, calls the data stored in the memory, and executes various functions of the present application and processes data. The processor can be at least one of an application specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It can be understood that for different devices, the electronic devices used to implement the above-mentioned processor functions can also be others, and the embodiments of the present application do not make specific limitations.

[0074] The present application also provides a computer-readable storage medium, such as including: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs. The computer-readable storage medium stores a computer program that can be loaded and executed by the processor to implement the above-mentioned automated test paper information collection method.

[0075] The above description is only a preferred embodiment of the present application and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the foregoing disclosed concept. For example, the technical solutions formed by mutually replacing the above features with (but not limited to) the technical features with similar functions disclosed in the present application.

Claims

1. An automated method for collecting examination paper information, characterized in that, Including: Obtain the test paper image to be collected and identification information, and retrieve the standard image corresponding to the test paper image to be collected according to the identification information. The step of retrieving the standard image corresponding to the test paper image to be collected according to the identification information includes retrieving the standard image corresponding to the digital identification element from the database, and this standard image is the standard image corresponding to the test paper image to be collected; After positioning the test paper image to be collected, obtain the coordinate information of the information to be collected; Determine whether the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected; If so, collect the information to be collected in the area corresponding to the coordinate information, and add the information to be collected to the standard image according to the identification information and the coordinate information. The standard image refers to the blank test paper pre-stored in the server that is the same as this page of the test paper. Collecting the test paper information is used to add the answers filled in by the students and the teacher's corrections to the blank test paper. The step of obtaining the test paper image to be collected and the identification information includes: Obtain the image to be corrected according to the imaging device; Obtain the identification information from the image to be corrected according to the feature recognition technology; The identification information includes a specific straight line element, a specific rectangular frame element, a specific identification element, and a digital identification element; When there is a situation of digital recognition error, the specific steps of retrieving the standard image corresponding to the test paper image to be collected according to the identification information are as follows: Calculate the first distance value between the specific straight line element and the specific identification element; Calculate the second distance value between the specific rectangular frame element and the specific identification element; Obtain the distance identification information according to the first distance value and the second distance value; Retrieve the standard image corresponding to the distance identification information from the database according to the distance identification information, and this standard image is the standard image corresponding to the test paper image to be collected.

2. The automated test paper information collection method according to claim 1, wherein, The step of obtaining the coordinate information of the information to be collected after positioning the test paper image to be collected includes: Obtain the question information in the test paper image to be collected according to the test paper image to be collected; Locate the rectangular frame in each question according to the question information and the contour search algorithm and obtain the coordinate information of the rectangular frame; The information in the rectangular frame is the information to be collected.

3. The automated test paper information acquisition method according to claim 2, wherein The step of determining whether the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected includes: Obtain the feature information after identifying the rectangular frame by using the feature recognition technology; Compare the feature information with the pre-stored feature information. If the two are the same, it means that the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected.

4. The automated collection method of examination paper information according to claim 1, characterized in that After collecting the information to be collected in the area corresponding to the coordinate information, process the information to be collected and store it in the cloud server.

5. An automated test paper information collection system, characterized in that, Including: An acquisition module (1) for obtaining the test paper image to be collected and the identification information, and retrieving the standard image corresponding to the test paper image to be collected according to the identification information. The step of obtaining the test paper image to be collected and the identification information includes: Obtain the image to be corrected according to the imaging device; Obtain the identification information from the image to be corrected according to the feature recognition technology; The identification information includes a specific straight line element, a specific rectangular frame element, a specific identification element, and a digital identification element; The steps of retrieving the standard image corresponding to the test paper image to be collected according to the identification information include retrieving, from the database, the standard image corresponding to the digital identification element according to the digital identification element, and this standard image is the standard image corresponding to the test paper image to be collected; When there is a digital recognition error, the specific steps of retrieving the standard image corresponding to the test paper image to be collected according to the identification information are as follows: Calculate the first distance value between the specific line element and the specific identification element; Calculate the second distance value between the specific rectangular frame element and the specific identification element; Obtain the distance identification information based on the first distance value and the second distance value; Retrieve, from the database, the standard image corresponding to the distance identification information according to the distance identification information, and this standard image is the standard image corresponding to the test paper image to be collected; The positioning module (2) is used to obtain the coordinate information of the information to be collected after positioning the test paper image to be collected; The determination module (3) is used to determine whether the information to be collected in the area corresponding to the coordinate information is the answer information that needs to be collected; The collection module (4) is used to collect the information to be collected in the area corresponding to the coordinate information, and add the information to be collected to the standard image according to the identification information and the coordinate information. The standard image refers to the blank test paper pre-stored in the server that is the same as this page of the test paper. The test paper information collection is used to add the answers filled in by the students and the teacher's corrections to the blank test paper.

6. An intelligent terminal, characterized in that, It includes a memory and a processor, and a computer program instruction capable of being loaded and executed by the processor, such as any one of the methods in claims 1-4, is stored on the memory.

7. A computer-readable storage medium, characterized in that, A computer program capable of being loaded and executed by the processor, such as any one of the methods in claims 1-4, is stored.

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