CN116541539A - Test paper comparison method, device, equipment and storage medium - Google Patents

Abstract

The disclosure relates to a test paper comparison method, a device, equipment and a storage medium, wherein the test paper comparison method comprises the following steps: acquiring a first test paper; determining test question attribute values of all test questions in the first test paper, wherein the test question attribute values are used for representing target values of areas occupied by the test question contents; and determining whether the first test paper and the second test paper are the same test paper according to the test paper attribute value of each test paper in the first test paper and the test paper attribute value of each test paper in the second test paper. By applying the test paper comparison method provided by the embodiment of the disclosure to carry out test paper weight arrangement, the accuracy is higher and the time consumption is less.

Description

Test paper comparison method, device, equipment and storage medium

Technical Field

The disclosure relates to the technical field of computers, and in particular relates to a test paper comparison method, a device, equipment and a storage medium.

Background

The test paper question library comprises a large number of test papers, and great convenience is provided for users to search the test papers for study. In addition, in order to improve the richness of the test paper question bank, the test paper question bank can continuously record new test papers. Before the test paper to be recorded is recorded in the test paper question bank, the test paper to be recorded is required to be subjected to test paper arrangement, namely whether the same test paper is recorded in the test paper question bank or not is detected, and in the process, the test paper to be recorded is required to be compared with each test paper in the test paper question bank, so that the operation of comparing the two test papers is required to be repeatedly performed for a plurality of times.

Currently, two test papers are usually compared by the following two test paper comparison methods. The first is to compare the test paper names of the two test papers, if the test paper names of the two test papers are the same, the test papers are considered to be the same, otherwise, the test papers are considered to be different. And secondly, comparing the test question contents (namely, the texts corresponding to the test questions in the test papers) in the two test papers, if the test question contents of the two test papers are the same, considering the test papers as the same test papers, otherwise, considering the test papers as different test papers. However, the accuracy of the first test paper comparison method is poor when the test paper is discharged for a large amount of time, and the second test paper comparison method is large in workload and long in time.

Disclosure of Invention

In order to solve the above technical problems or at least partially solve the above technical problems, the present disclosure provides a test paper comparing method, device, apparatus and storage medium.

According to an aspect of the present disclosure, there is provided a test paper comparing method, including:

acquiring a first test paper;

determining test question attribute values of all test questions in the first test paper, wherein the test question attribute values are used for representing target values of areas occupied by the test question contents;

and determining whether the first test paper and the second test paper are the same test paper according to the test paper attribute value of each test paper in the first test paper and the test paper attribute value of each test paper in the second test paper.

According to another aspect of the present disclosure, there is provided a test paper comparing device including:

the first acquisition module is used for acquiring a first test paper;

the first determining module is used for determining test question attribute values of all the test questions in the first test paper, wherein the test question attribute values are used for representing target values of areas occupied by the test question contents;

and the second determining module is used for determining whether the first test paper and the second test paper are the same test paper according to the test question attribute values of the test questions in the first test paper and the test question attribute values of the test questions in the second test paper.

According to another aspect of the present disclosure, there is provided an electronic device including: a processor; and a memory storing a program, wherein the program comprises instructions that when executed by the processor cause the processor to perform a test paper comparison method according to the above.

According to another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the above-described test paper comparison method.

The test paper comparison method provided by the embodiment of the disclosure can obtain the first test paper; determining test question attribute values of all test questions in the first test paper, wherein the test question attribute values are used for representing target values of areas occupied by the test question contents; and determining whether the first test paper and the second test paper are the same test paper according to the test paper attribute value of each test paper in the first test paper and the test paper attribute value of each test paper in the second test paper. By applying the test paper comparison method provided by the embodiment of the disclosure to carry out test paper weight arrangement, the accuracy is higher and the time consumption is less.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

In order to more clearly illustrate the embodiments of the present disclosure or the solutions in the prior art, the drawings that are required for the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.

FIG. 1 is a flow chart of a test paper comparison method provided by an embodiment of the present disclosure;

FIG. 2 is a schematic illustration of a test paper provided in an embodiment of the present disclosure;

FIG. 3 is a schematic diagram of an area occupied by a test question using a scan frame to slide according to an embodiment of the present disclosure;

FIG. 4 is a schematic illustration of another test paper provided in an embodiment of the present disclosure;

FIG. 5 is a logical schematic diagram of color separation of the test paper shown in FIG. 4;

FIG. 6 is a flow chart of another test paper comparison method provided by an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of a test paper comparing device according to an embodiment of the disclosure;

Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure.

Detailed Description

In order that the above objects, features and advantages of the present disclosure may be more clearly understood, embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below. It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

The applicant finds that the two test paper comparison methods provided by the related technology have defects through researching the two test paper comparison methods. Specifically, for the test paper comparison method for comparing based on the test paper names, as the naming mode of the test paper in the industry is basically assembled as follows: the school year + province + city + district + school (optional) +grade + up/down + type (mid/end of period/self-test/… …) +subject + test paper + remarks (five-four school system), but there are differences in specific words, such as for "city", some write xx city, some write xx do not write city words, for "type", some write learning period, some write (up), so that the comparison according to the test paper name has the workload of word segmentation and comparison, and the error is larger, the accuracy is low, and therefore, the test paper weight arrangement accuracy is lower by adopting the test paper comparison method based on the test paper name for comparison. For the test paper comparison method based on the test paper content, firstly, optical character recognition (Optical Character Recognition, OCR) is required to be carried out on the test paper, and test paper 1, test paper 2, test paper 3 and … … are identified, then, the two test papers are compared one by one, namely, test paper 1 (namely, the text of test paper 1), test paper 2 (namely, the text of test paper 2) of the two test papers are compared, test paper 3 (namely, the text of test paper 3) of the two test papers are compared, and … …, and if the test papers of the two test papers are identical and the test paper sequence is identical, the test papers are regarded as identical test papers. However, because the test question comparison is performed on a question-by-question basis, the time consumption is long, and therefore, the test paper weight is arranged by adopting the test paper comparison method for comparing the test question contents, and the real-time comparison weight cannot be realized. If only the first few questions are compared, the test papers are considered to be the same as the test papers as long as the test papers and the sequences of the first few questions are the same, and the test papers still consume longer time, have larger errors and are not high in accuracy.

In view of this, the present disclosure provides a test paper comparing method, device, apparatus and storage medium. Next, a test paper comparison method provided by the present disclosure will be described first.

Fig. 1 is a flowchart of a test paper comparison method provided in an embodiment of the present disclosure, which may be performed by an electronic device. The electronic device may be understood as a device such as a mobile phone, tablet, notebook, desktop, smart television, etc., by way of example. As shown in fig. 1, the method provided in this embodiment includes the following steps:

s110, acquiring a first test paper.

Specifically, the first test paper may be any test paper.

For example, from the application scenario, the first test paper in one application scenario may be a test paper to be recorded in a test paper question bank, but is not limited thereto. As another example, from the text format of the test paper, the format of the first test paper may include word, PDF, picture, etc., but is not limited thereto. For another example, from the view point of the type of the test question content, the test question content of the first test paper may include text and/or drawings, etc., but is not limited thereto. As another example, from the perspective of the source of the first test paper, the source of the first test paper may include, but is not limited to, online downloads, image scans, local storage reads, and the like.

S120, determining test question attribute values of all the test questions in the first test paper, wherein the test question attribute values are used for representing target values of areas occupied by the test question contents.

In the embodiment of the present disclosure, considering that the test question contents are what is effective for the student to learn, but not the test paper names, remarks, and the like outside the test question contents, the comparison should be focused on the test question contents when comparing whether the two test papers are identical. Further, considering that the direct comparison of the test question contents is large in workload and long in time consumption, the test question contents can be compared not directly but with the test question attribute values of the two test papers, so that the test question attribute values of the test questions in the first test paper need to be determined.

Specifically, the target value is a value related to the area occupied by the test question content, which may include an area, a number of pixels, a number of characters, a number of text lines, and the like, but is not limited thereto.

In some embodiments, the test question attribute value is used for characterizing a target value of an area occupied by the test question content, and may include: and inputting the first test paper into a test question attribute value generation model to obtain test question attribute values of all the test questions in the first test paper output by the test question attribute value generation model, wherein the test question attribute value generation model is finished by training the sample test paper and the test question attribute values of all the test questions in the sample test paper in advance. But is not limited thereto.

S130, determining whether the first test paper and the second test paper are the same test paper according to the test question attribute values of the test questions in the first test paper and the test question attribute values of the test questions in the second test paper.

Specifically, the second test paper may be any test paper.

For example, from the application scenario, the second test paper in one application scenario may be a test paper in a test paper question bank, but is not limited thereto. The text format of the test paper, the type of the test question content and the source of the test paper are similar to those of the first test paper, and are not repeated here.

Specifically, before S130, the test question attribute value of each test question in the second test paper may also be determined. For example, the test question attribute value of each test question in the second test paper may be determined in a similar manner to "determine the test question attribute value of each test question in the first test paper". For another example, the test question attribute values of the test questions in the second test paper are stored in the preset storage module in advance, for example, in the test paper question library in advance, and then the test question attribute values of the test questions in the second test paper can be obtained by reading the preset storage module, so that the test question attribute values of the test questions in the second test paper can be quickly obtained, and the comparison time of the first test paper and the second test paper is shortened.

In some embodiments, S130 may include: and comparing the sum of the test question attribute values of the test questions in the first test paper with the sum of the test question attribute values of the test questions in the second test paper, if the first preset condition is not met, determining that the first test paper and the second test paper are different test papers, and if the first preset condition is met, determining that the first test paper and the second test paper are the same test paper.

Specifically, the first preset condition may include that a sum of test question attribute values of each test question in the first test paper is the same as a sum of test question attribute values of each test question in the second test paper. But is not limited thereto.

Accordingly, the process of removing the weight of the first test paper may be as follows: acquiring a first test paper; determining test question attribute values of all test questions in the first test paper; comparison was performed: and comparing the sum of the test question attribute values of the test questions in the first test paper with the sum of the test question attribute values of the test questions in the second test paper aiming at each second test paper in the test question library, if the sum of the test question attribute values of the test questions in the first test paper is different from the sum of the test question attribute values of the test questions in each second test paper, determining that the test paper which is the same as the first test paper does not exist in the test question library, otherwise, determining that the test paper which is the same as the first test paper exists in the test question library.

It can be understood that, because the comparison of the sum of the test question attribute values of each test question in the test paper is numerical comparison, compared with the comparison of the test question content, the numerical comparison workload is very small, so that the test paper comparison method provided by the implementation of the present disclosure is used for weight removal, the comparison workload can be greatly reduced, and the time consumption is greatly shortened.

Of course, in other embodiments, in order to improve accuracy, when the sum of the test question attribute values of the test questions in the first test paper is the same as the sum of the test question attribute values of the test questions in the second test paper, the test question content of the test questions in the first test paper and the test question content of the test questions in the second test paper may be compared, if the test question content of the test questions in the first test paper and the test question content of the test questions in the second test paper are the same, the first test paper and the second test paper may be determined to be the same, otherwise, the first test paper and the second test paper may be determined to be different.

Accordingly, the process of removing the weight of the first test paper may be as follows: acquiring a first test paper; determining test question attribute values of all test questions in the first test paper; a first comparison was made: comparing the sum of the test question attribute values of the test questions in the first test paper with the sum of the test question attribute values of the test questions in the second test paper aiming at each second test paper in the test question library, and if the sum of the test question attribute values of the test questions in the first test paper and the sum of the test question attribute values of the test questions in each test paper are different, determining that the test paper which is the same as the first test paper does not exist in the test question library; if the sum of the test question attribute values of the test questions in the first test paper is the same as the sum of the test question attribute values of the test questions in at least one second test paper, performing a second comparison: and taking the second test paper which is the same as the sum of the test paper attribute values of the test papers in the first test paper as a third test paper, comparing the test paper content of the test papers in the first test paper with the test paper content of the test papers in the third test paper aiming at each third test paper, and if the test paper content of the test papers in the first test paper is different from the test paper content of the test papers in each third test paper, determining that the test paper which is the same as the first test paper does not exist in the test paper library, otherwise, determining that the test paper which is the same as the first test paper exists in the test paper library.

It can be understood that, even if there is a third test paper identical to the sum of the test question attribute values of the test questions in the first test paper, the test question contents of the test questions in the first test paper and the test question contents of the test questions in the third test paper are continuously compared, so that the workload in the duplicate removal process can be reduced, because: in the first comparison, the comparison is performed based on the sum of the test question attribute values of the test questions in the test paper, and the comparison belongs to the numerical comparison, so that the first comparison time is less, and in the second comparison, the number of the third test paper participating in the second comparison is less, so that even if the comparison is performed based on the test question content, the second comparison time is relatively less, and the total time for discharging the first test paper is less.

The test paper comparison method provided by the embodiment of the disclosure can obtain the first test paper; determining test question attribute values of all test questions in the first test paper, wherein the test question attribute values are used for representing target values of areas occupied by the test question contents; and determining whether the first test paper and the second test paper are the same test paper according to the test paper attribute value of each test paper in the first test paper and the test paper attribute value of each test paper in the second test paper. By applying the test paper comparison method provided by the embodiment of the disclosure to carry out test paper weight arrangement, the accuracy is higher and the time consumption is less.

In another embodiment of the present disclosure, the test question attribute value is used for characterizing a target value of an area occupied by the test question content, and includes:

s1211, dividing the test paper to obtain the occupied area of the test paper content.

Specifically, any possible region division algorithm may be used to divide the test paper, which is not limited in this application. For example, the test paper may be subjected to test question segmentation according to the following region division rule: the width of the occupied area of the test question contents=the width of the longest portion of the test question contents, or the page width of the test paper, and the height of the occupied area of the test question contents=the minimum height of the enclosed test question contents, but is not limited thereto.

Exemplary, fig. 2 is a schematic diagram of a test paper provided in an embodiment of the disclosure. As shown in fig. 2, the test paper includes 3 test questions, and the test paper is subjected to test question segmentation to obtain an occupied area 210 of each test question.

S1212, determining the area of the occupied area of the test question content, and taking the area of the occupied area of the test question content as the target value of the occupied area of the test question content.

In some embodiments, determining the area of the area occupied by the test question content may include: and multiplying the height and the width of the area occupied by the test question content to obtain the test question area of the area occupied by the test question content.

In other embodiments, determining the area of the area occupied by the test question content may include:

s12121, performing character segmentation on the area occupied by the test question content to obtain a character block.

S12122, adding the areas of the character blocks to obtain the area of the area occupied by the test question content.

In one example, S12121 may include: inputting the occupied area of the test question content into a character segmentation model to obtain a character block output by the character segmentation model, wherein the character segmentation model is trained by the occupied area of the sample test question content and the character block included in the occupied area in advance. Accordingly, S12122 may include: and determining the area of each character block, and summing the areas of the character blocks to obtain the area of the area occupied by the test question content.

In another example, S12121 may include: and adopting a preset scanning frame to slide and scan the occupied area of the test question content, and marking a scanning block with the gray value larger than a preset threshold value corresponding to the scanning frame during sliding scanning as a character block, wherein the scanning frame covers a single character. Accordingly, S12122 may include: and multiplying the number of the character blocks and the area of the scanning frame to obtain the area of the area occupied by the test question content.

Specifically, the scan frame is a geometric frame surrounding a single character, wherein the geometric shape of the scan frame may include, but is not limited to, a circle, a triangle, a rectangle, a pentagon, and the like.

The same scan frame may be used for the area occupied by each test question in the test paper, at this time, any character may be identified from the area occupied by any test question, and a scan frame surrounding the character may be generated for the identified character, but the present invention is not limited thereto.

The area occupied by each test question content in the test paper can also adopt a corresponding scanning frame, at this time, the first character in the area occupied by each test question content can be identified, and the scanning frame surrounding the first character can be generated for the first character, but the method is not limited to the method.

Specifically, the specific meaning of the "gray value corresponding to a scan frame" may be an average value of gray values of all pixels in the scan frame. At this time, "the scan block whose gray value corresponding to the scan frame at the time of the sliding scan is greater than the preset threshold value is recorded as the character block" may include: marking a scanning area with the average value of gray values of all pixels in a scanning frame larger than a preset threshold value as a character block during sliding scanning;

Or alternatively;

marking a scanning area with the average value of gray values of all pixels in a scanning frame being larger than a first preset threshold value and smaller than a second preset threshold value as a half character block during sliding scanning; and marking a scanning area with the average value of gray values of all pixels in a scanning frame larger than a second preset threshold value as a character block during sliding scanning, wherein the first preset threshold value is smaller than the second preset threshold value.

Fig. 3 is a schematic diagram of an area occupied by a test question sliding by using a scan frame according to an embodiment of the disclosure. Referring to fig. 2 and 3, for the region 210 occupied by the test question content of the 2 nd question, the region 210 occupied by the test question content is scanned by sliding a scanning frame 310, and the scanning region with the gray value of the scanning frame 310 being greater than a preset threshold value during sliding scanning is marked as a character block, so as to obtain 90 character blocks; multiplying 90 by the area of the scanning frame to obtain the area of the area occupied by the test question content of the 2 nd question. And the same way, the area of the area occupied by the test question content of the 1 st question and the area of the area occupied by the test question content of the 3 rd question can be obtained.

It can be understood that by adding the areas of the character blocks to obtain the area of the area occupied by the test question content, the calculated area of the area occupied by the test question content is more similar to the area of the area actually occupied, and the accuracy of the area occupied by the test question content can be improved, so that the accuracy of judging whether the two test papers are the same test papers according to the area can be improved.

It can be further understood that the page size of the test paper is A4 in the normal case, so that when two test papers are the same, the occupied area of each test question content is generally the same, and therefore, the accuracy of test paper comparison can be improved by setting the target value to include the area.

In yet another embodiment of the present disclosure, the test question attribute value is used for characterizing a target value of an area occupied by the test question content, and includes:

s1221, dividing the test paper to obtain the occupied area of the test paper content.

Specifically, S1221 is similar to S1211, and will not be described here again.

S1222, determining the total number of pixels contained in the area occupied by the test question content, and taking the total number of pixels as the target value of the area occupied by the test question content.

In some embodiments, S1222 may include: and inputting the area occupied by the test question content into a pixel total statistical model to obtain the total number of pixels output by the pixel total statistical model, wherein the pixel total statistical model is trained by the area occupied by the sample test question content and the total number of pixels included in the area.

In other embodiments, S1222 may include:

s12221, obtaining a target layer where the test question content is located.

Specifically, color separation processing can be performed on the test paper to obtain a plurality of layers, and a target layer where the test question content is located is screened out of the plurality of layers.

The test paper may be subjected to color separation processing by any possible color separation algorithm, which is not limited herein.

The color separation treatment can be directly carried out on the test paper to obtain a plurality of layers. The test paper can be subjected to edge processing, and the edge area and the inner area of the test paper are distinguished, wherein the edge area is an area which does not comprise the test question content, the inner area is an area which comprises the test question content, and the edge area generally surrounds or semi-surrounds the inner area; and performing color separation processing on the inner area to obtain a plurality of layers.

Fig. 4 is a schematic diagram of another test paper according to an embodiment of the disclosure. Fig. 5 is a logic diagram for color separation of the test paper shown in fig. 4. Referring to fig. 4 and 5, the background color of the test paper is white, and the color of the test question content is black, so that the black layer 510 and the white layer 520 can be obtained by performing edge processing on the test paper and performing color separation processing on the content area obtained after the edge processing, and the black layer 610 where the test question content is located is obtained from the black layer 610 and the white layer 620 as a target layer.

It can be understood that the color separation process is performed only on the inner area, so that the area of the portion requiring the color separation process can be reduced, the workload of the color separation process can be further reduced, and the time consumption of the color separation can be shortened.

S12222, counting the total number of pixels contained in the area occupied by the test question content in the target layer.

For example, with continued reference to fig. 4 and 5, in the black layer 610, the total number of pixels of the pixels included in the region occupied by the test question content of the 4 th question is counted.

It can be further understood that the specific styles of the test question contents are various, for example, the test question contents of some test questions only comprise characters (as shown in fig. 3), the test question contents of some test questions not only comprise characters but also comprise pictures (as shown in fig. 4), and the accuracy of the total number of statistical pixels is irrelevant to the styles of the test question contents, in other words, the styles of the test question contents do not influence the accurate statistics of the total number of pixels, so that setting the target value to comprise the total number of pixels can enable the test paper comparison based on the total number of pixels to be suitable for test papers with test question contents of various styles, i.e. the application range is wider. And when two test papers are identical, even if the page sizes of the two test papers are different, the total number of pixels of the area occupied by the test question content of the corresponding test question is the same, so that the target value is set to comprise the total number of pixels, and the accuracy of test paper comparison can be improved.

Fig. 6 is a flowchart of another test paper comparison method according to an embodiment of the present disclosure. Embodiments of the present disclosure may be optimized based on the embodiments described above, and may be combined with various alternatives of one or more of the embodiments described above.

As shown in fig. 6, the test paper comparison method may include the following steps.

S610, acquiring a first test paper.

Specifically, S610 is similar to S110, and will not be described here again.

S620, determining test question attribute values of all the test questions in the first test paper, wherein the test question attribute values are used for representing target values of areas occupied by the test question contents.

Specifically, S620 is similar to S120, and will not be described here again.

S630, if the sum of the test question attribute values of the test questions in the first test paper is compared with the sum of the test question attribute values of the test questions in the second test paper, and the first preset condition is not met, determining that the first test paper and the second test paper are different test papers.

Specifically, the first preset condition may include that a sum of test question attribute values of each test question in the first test paper is the same as a sum of test question attribute values of each test question in the second test paper, or that a difference between the sum of test question attribute values of each test question in the first test paper and the sum of test question attribute values of each test question in the second test paper is smaller than a first preset difference threshold. But is not limited thereto.

In some embodiments, the method further comprises:

if the sum of the test question attribute values of the test questions in the first test paper is compared with the sum of the test question attribute values of the test questions in the second test paper, the first preset condition is met, the test question attribute values of at least one test question pair are compared, and the second preset condition is not met, the first test paper and the second test paper are determined to be different test papers, wherein the test question pair comprises one test question in the first test paper and one test question corresponding to the second test paper.

In other embodiments, the method further comprises:

and if the sum of the test question attribute values of the test questions in the first test paper is compared with the sum of the test question attribute values of the test questions in the second test paper, the first preset condition is met, the test question attribute values of the test question pairs are compared, and the second preset condition is met, the first test paper and the second test paper are determined to be the same test paper.

Specifically, the second preset condition may include that the test question attribute values of two test questions in the test question pair are the same, or that the difference between the test question attribute values of the two test questions in the test question pair is smaller than a second preset difference threshold. But is not limited thereto.

Specifically, if the sum of the test question attribute values of each test question in the first test paper is compared with the sum of the test question attribute values of each test question in the second test paper, and the first preset condition is met, comparing the test question attribute values one by one for each test question pair, if the test question attribute value of one test question pair is found to not meet the second preset condition in the comparison process, determining that the first test paper and the second test paper are different test papers, and if the test question attribute value of each test question pair meets the second preset condition, determining that the first test paper and the second test paper are the same test paper.

It can be understood that the test question attribute values are compared one by one for each test question pair, and when the test question attribute value of one test question pair is found in the comparison process to not meet the second preset condition, namely, the first test paper and the second test paper are determined to be different test papers, the final comparison result can be obtained in time and the comparison is finished, and the time consumption for comparing the first test paper and the second test paper is reduced.

In still other embodiments, the method further comprises:

if the sum of the test question attribute values of all the test questions in the first test paper and the sum of the test question attribute values of all the test questions in the second test paper meet the first preset condition and the test question attribute values of all the test question pairs meet the second preset condition, identifying the test question contents for all the test question pairs, and comparing the test question contents one by one;

if the test question content of at least one test question pair does not meet the third preset condition, determining that the first test paper and the second test paper are different test papers;

if the test question content of each test question pair meets the third preset condition, determining that the first test paper and the second test paper are the same test paper.

Specifically, the third preset condition may include that the test question contents of two test questions in the test question pair are the same. But is not limited thereto.

Specifically, if the sum of the test question attribute values of each test question in the first test paper is compared with the sum of the test question attribute values of each test question in the second test paper, the first preset condition is met, the test question attribute values are compared one by one for each test question pair, the test question content is identified for each test question pair, the test question content is compared one by one, if the test question content of one test question pair is found to not meet the third preset condition in the comparison process, the first test paper and the second test paper are determined to be different, and if the test question content of each test question pair meets the third preset condition, the first test paper and the second test paper are determined to be the same.

It can be understood that when the test question attribute value of each test question in the first test paper and the test question attribute value of each test question in the second test paper meet the first preset condition and the test question attribute value of each test question pair meets the second preset condition, the test question content in the first test paper and the test question content in the second test paper are continuously compared to judge whether the first test paper and the second test paper are the same test paper or not, so that the accuracy of the first test paper and the second test paper can be improved.

For example, the process of removing the weight of the first test paper may be as follows: acquiring a first test paper; determining test question attribute values of all test questions in the first test paper; a first comparison was made: comparing the sum of the test question attribute values of the test questions in the first test paper with the sum of the test question attribute values of the test questions in the second test paper aiming at each second test paper in the test question library; if the sum of the test question attribute values of the test questions in the first test paper is different from the sum of the test question attribute values of the test questions in each second test paper, determining that the test paper which is the same as the first test paper does not exist in the test question library. If the sum of the test question attribute values of the test questions in the first test paper is the same as the sum of the test question attribute values of the test questions in at least one second test paper, performing a second comparison: and taking a second test paper which is the same as the sum of the test paper attribute values of all the test papers in the first test paper as a third test paper, comparing each third test paper as follows, determining all the test paper pairs of the first test paper and the third test paper, comparing the test paper attribute values one by one for all the test paper pairs, determining the first test paper and the third test paper as different test papers if the test paper attribute values of at least one test paper pair are different, and determining that the test paper which is the same as the first test paper does not exist in the test paper library if the first test paper and the third test paper are different. If the test question attribute values of the test question pairs in at least one third test paper and the first test paper are the same, determining the third test paper as a fourth test paper, and performing third comparison: and comparing the first test paper with the fourth test paper in the following way, determining each test paper pair of the first test paper and the fourth test paper, comparing the test paper contents one by one for each test paper pair, if the test paper contents of at least one test paper pair are different, determining the first test paper and the fourth test paper as different test papers, and if the test paper contents of each test paper pair are different, determining the first test paper and the fourth test paper as the same test paper. If the first test paper and each fourth test paper are different test papers, determining that the test paper which is the same as the first test paper does not exist in the test question bank, otherwise, determining that the test paper which is the same as the first test paper exists in the test question bank.

When the test paper which is the same as the first test paper does not exist in the test paper question library, the first test paper and the test paper attribute values of all the test papers in the first test paper can be input into the test paper question library; when the test paper identical to the first test paper exists in the test paper question bank, the first test paper is not required to be input into the test paper question bank.

For example, the first test paper may be added with one field: the area, corresponding field may be stored by json:

according to the embodiment of the disclosure, the sum of the test question attribute values of each test question in the first test paper and the sum of the test question attribute values of each test question in the second test paper can be compared, and when the sum of the test question attribute values of each test question in the first test paper and the sum of the test question attribute values of each test question in the second test paper meet the first preset condition, the attribute values of the test question pairs in the first test paper and the second test paper are further compared one by one, and the sum of the test question attribute values and the attribute value comparison of the test question pairs are all numerical comparison, so that the workload is small and the comparison time is less. In addition, compared with the case that the sum of the test question attribute values of all the test questions in the first test paper and the sum of the test question attribute values of all the test questions in the second test paper meet the first preset condition, the first test paper and the second test paper are directly determined to be the same test paper, and the test question attribute value comparison of the test question pairs is further carried out, so that the comparison accuracy can be improved. In addition, when the test question attribute value of each test question pair meets the second preset condition, the test question content of each test question pair is further compared, and the comparison accuracy can be further improved.

Fig. 7 is a schematic structural diagram of a test paper comparing device according to an embodiment of the present disclosure, where the test paper comparing device may be understood as the electronic device or a part of functional modules in the electronic device. As shown in fig. 7, the test paper comparing device 700 includes:

a first acquiring module 710, configured to acquire a first test paper;

a first determining module 720, configured to determine a test question attribute value of each test question in the first test paper, where the test question attribute value is used to characterize a target value of an area occupied by the test question content;

and a second determining module 730, configured to determine whether the first test paper and the second test paper are the same test paper according to the test question attribute value of each test question in the first test paper and the test question attribute value of each test question in the second test paper.

In another embodiment of the present disclosure, the first determining module 720 includes:

the first segmentation sub-module is used for segmenting test questions of the test paper to obtain occupied areas of the test question contents;

the first determining submodule is used for determining the area of the occupied area of the test question content and taking the area of the occupied area of the test question content as a target value of the occupied area of the test question content.

In yet another embodiment of the present disclosure, the first determination submodule includes:

The segmentation unit is used for carrying out character segmentation on the area occupied by the test question content to obtain character blocks;

and the adding unit is used for adding the areas of the character blocks to obtain the area of the area occupied by the test question content.

In still another embodiment of the present disclosure, the first segmentation unit is specifically configured to slidingly scan an area occupied by the test question content by using a preset scan frame, and record a scan block corresponding to the scan frame with a gray value greater than a preset threshold value as the character block during the sliding scan, where the scan frame covers a single character.

In yet another embodiment of the present disclosure, the first determining module 720 includes:

the second segmentation submodule is used for segmenting test questions of the test paper to obtain occupied areas of the test question contents;

and the second determination submodule is used for determining the total number of pixels contained in the area occupied by the test question content and taking the total number of pixels as a target value of the area occupied by the test question content.

In yet another embodiment of the present disclosure, the second determination submodule includes:

the acquisition unit is used for acquiring a target layer where the test question content is located;

And the statistics unit is used for counting the total number of pixels contained in the area occupied by the test question content in the target layer.

In yet another embodiment of the present disclosure, the second determining module 730 includes:

and the first comparison sub-module is used for determining that the first test paper and the second test paper are different test papers if the sum of the test paper attribute values of all the test papers in the first test paper is compared with the sum of the test paper attribute values of all the test papers in the second test paper and a first preset condition (for example, the same condition is not met) is not met.

In yet another embodiment of the present disclosure, the apparatus further comprises:

and the second comparison sub-module is used for determining that the first test paper and the second test paper are different test papers if the sum of the test paper attribute values of all the test papers in the first test paper is compared with the sum of the test paper attribute values of all the test papers in the second test paper, the first preset condition is met, the test paper attribute value of at least one test paper pair is compared, and the second preset condition is not met, wherein the test paper pair comprises one test paper in the first test paper and one test paper corresponding to the first test paper and the second test paper.

In yet another embodiment of the present disclosure, the apparatus further comprises:

And the third comparison sub-module is used for determining that the first test paper and the second test paper are the same test paper if the sum of the test paper attribute values of all the test papers in the first test paper is compared with the sum of the test paper attribute values of all the test papers in the second test paper, the first preset condition is met, and the test paper attribute values of all the test paper pairs are compared, and the second preset condition is met.

In yet another embodiment of the present disclosure, the apparatus further comprises:

a fourth comparing sub-module, configured to identify, for each of the test question pairs, the test question content, and compare the test question content one by one, if the sum of the test question attribute values of each of the test questions in the first test paper and the sum of the test question attribute values of each of the test questions in the second test paper satisfy the first preset condition and the test question attribute values of each of the test question pairs satisfy the second preset condition; if the test question content of at least one test question pair does not meet a third preset condition, determining that the first test paper and the second test paper are different test papers; and if the test question content of each test question pair meets the third preset condition, determining that the first test paper and the second test paper are the same test paper.

The device provided in this embodiment can execute the method of any one of the above embodiments, and the execution mode and the beneficial effects thereof are similar, and are not described herein again.

The device provided in this embodiment has the same implementation principle and technical effects as those of the foregoing method embodiment, and for brevity, reference may be made to the corresponding content of the foregoing method embodiment where the device embodiment is not mentioned.

The exemplary embodiments of the present disclosure also provide an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor for causing the electronic device to perform a method according to embodiments of the present disclosure when executed by the at least one processor.

The present disclosure also provides a computer program product comprising a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform a method according to embodiments of the disclosure.

Referring to fig. 8, a block diagram of an electronic device 800 that may be a server or a client of the present disclosure, which is an example of a hardware device that may be applied to aspects of the present disclosure, will now be described. Electronic devices are intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 8, the electronic device 800 includes a computing unit 801 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 802 or a computer program loaded from a storage unit 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to the bus 804.

Various components in electronic device 800 are connected to I/O interface 805, including: an input unit 806, an output unit 807, a storage unit 808, and a communication unit 809. The input unit 806 may be any type of device capable of inputting information to the electronic device 800, and the input unit 806 may receive input numeric or character information and generate key signal inputs related to user settings and/or function controls of the electronic device. The output unit 807 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, video/audio output terminals, vibrators, and/or printers. Storage unit 804 may include, but is not limited to, magnetic disks, optical disks. The communication unit 809 allows the electronic device 800 to exchange information/data with other devices over computer networks, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers and/or chipsets, such as bluetooth (TM) devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.

The computing unit 801 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 801 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above. For example, in some embodiments, the coupon comparison method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 808. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 800 via the ROM 802 and/or the communication unit 809. In some embodiments, the computing unit 801 may be configured to perform the coupon comparison method by any other suitable means (e.g., by means of firmware).

Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

As used in this disclosure, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.

The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

The foregoing is merely a specific embodiment of the disclosure to enable one skilled in the art to understand or practice the disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown and described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (12)

1. A test paper comparison method, comprising:

acquiring a first test paper;

determining test question attribute values of all the test questions in the first test paper, wherein the test question attribute values are used for representing target values of areas occupied by the test question contents;

and determining whether the first test paper and the second test paper are the same test paper or not according to the test question attribute values of the test questions in the first test paper and the test question attribute values of the test questions in the second test paper.

2. The method according to claim 1, wherein the test question attribute value is used for characterizing a target value of an area occupied by the test question content, and the method comprises:

performing test question segmentation on the test paper to obtain an occupied area of the test question content;

and determining the area of the area occupied by the test question content, and taking the area of the area occupied by the test question content as a target value of the area occupied by the test question content.

3. The method of claim 2, wherein determining the area of the area occupied by the test question content comprises:

performing character segmentation on the area occupied by the test question content to obtain a character block;

and adding the areas of the character blocks to obtain the area of the area occupied by the test question content.

4. The method of claim 3, wherein the performing character segmentation on the area occupied by the test question content to obtain character blocks comprises:

and adopting a preset scanning frame to slidingly scan the area occupied by the test question content, and marking a scanning block with the gray value corresponding to the scanning frame being larger than a preset threshold value as the character block during sliding scanning, wherein the scanning frame covers a single character.

5. The method according to claim 1, wherein the test question attribute value is used for characterizing a target value of an area occupied by the test question content, and the method comprises:

performing test question segmentation on the test paper to obtain an occupied area of the test question content;

and determining the total number of pixels contained in the area occupied by the test question content, and taking the total number of pixels as a target value of the area occupied by the test question content.

6. The method of claim 5, wherein determining the total number of pixels contained in the area occupied by the test question content comprises:

acquiring a target layer in which the test question content is located;

and counting the total number of pixels contained in the area occupied by the test question content in the target layer.

7. The method of claim 1, wherein the determining whether the first test paper and the second test paper are the same test paper according to the test paper attribute value of each test paper in the first test paper and the test paper attribute value of each test paper in the second test paper comprises:

and if the sum of the test question attribute values of the test questions in the first test paper is compared with the sum of the test question attribute values of the test questions in the second test paper, and the first test paper and the second test paper are determined to be different test papers.

8. The method as recited in claim 7, further comprising:

if the sum of the test question attribute values of the test questions in the first test paper is compared with the sum of the test question attribute values of the test questions in the second test paper, the first preset condition is met, the test question attribute values of at least one test question pair are compared, and the second preset condition is not met, the first test paper and the second test paper are determined to be different test papers, wherein the test question pair comprises one test question in the first test paper and one test question corresponding to the first test question in the second test paper.

9. The method as recited in claim 8, further comprising:

and if the sum of the test question attribute values of all the test questions in the first test paper is compared with the sum of the test question attribute values of all the test questions in the second test paper, the first preset condition is met, the test question attribute values of all the test question pairs are compared, and the second preset condition is met, then the first test paper and the second test paper are determined to be the same test paper.

10. The method as recited in claim 8, further comprising:

if the sum of the test question attribute values of all the test questions in the first test paper and the sum of the test question attribute values of all the test questions in the second test paper meet the first preset condition and the test question attribute values of all the test question pairs meet the second preset condition, identifying the test question content for all the test question pairs and comparing the test question content one by one;

If the test question content of at least one test question pair does not meet a third preset condition, determining that the first test paper and the second test paper are different test papers;

and if the test question content of each test question pair meets the third preset condition, determining that the first test paper and the second test paper are the same test paper.

11. A test paper contrast method device, characterized by comprising:

the first acquisition module is used for acquiring a first test paper;

the first determining module is used for determining test question attribute values of all the test questions in the first test paper, wherein the test question attribute values are used for representing target values of areas occupied by the test question contents;

and the second determining module is used for determining whether the first test paper and the second test paper are the same test paper according to the test question attribute values of the test questions in the first test paper and the test question attribute values of the test questions in the second test paper.

12. An electronic device, the electronic device comprising:

a processor; and

a memory in which a program is stored,

wherein the program comprises instructions which, when executed by the processor, cause the processor to perform the test paper comparison method according to any one of claims 1 to 10.