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Intelligent test paper correction method

A test paper and intelligent technology, applied in the field of intelligent test paper correction, can solve problems such as inability to mark the test paper, deviation of the test paper, and affecting the quality of the test paper

Active Publication Date: 2021-07-06
HANGZHOU YUNTI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this way, the following problems will arise: first, when the user does not answer the question at the marked position, the marking cannot be performed; second, the user's draft, handwriting, etc. at the answering position will affect the quality of marking; third, when a question has multiple standards When answering the question position, there will be deviations in marking

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] A smart test volume approval method, such as figure 1 As shown, the method includes steps S1 to S6 as follows:

[0045] S1, the original test paper image to be identified, find the target test paper image corresponding to the original test panel to be identified by the question bank;

[0046] Among them, the original test paper image is collected by the camera, the target test paper image is a test panel template PDF page, see figure 2 with image 3 .

[0047] S2, using alignment algorithms, correct alignment with the target test paper image; see Figure 4 .

[0048] Wherein, the alignment algorithm is an existing image recognition algorithm, which is no longer described here.

[0049] S3, the topic of the target test volume image is performed, and according to the cut information in the target test paper image, the title information of the original test paper image is obtained; see Figure 5 .

[0050] S4, the answer area detection and answer position identification is perfor...

Embodiment 2

[0064] Take some test paper Take the case as an example, indicating that the standard answer area of ​​each question in the target test paper image in step S5 is explained to the specific process of all answer information corresponding to all answer information in each question in the target test paper image.

[0065] Such as Figure 7 As shown, the larger frame in the figure is the standard answer position, the smaller box is the user's answer position. Then the "X" "X" is a user's answer in the map.

[0066] Such as Figure 8 As shown, there is only one standard answer, although the user answers is not in the standard area, according to the quantity, "X" is still an answer as a user.

[0067] Such as Figure 9 As shown, larger blocks 1, 2, 3 are the standard answer position of the question. The A, B two lines of answers were detected in the photos submitted by the user, then A corresponds to the No. 1 answer area, and B corresponds to the No. 2 answer area, and the 3-region does no...

Embodiment 3

[0081] On the hardware, the present invention is typically implemented based on computer devices, which typically includes processors, memory, network interfaces, and databases. Among them, the processor is used to provide calculation and control capability, and the memory includes a non-volatile storage medium, an internal memory. The non-volatile storage medium can store an operating system, computer program, and database; the inner memory can provide an operational providing environment of an operating system and computer program in a non-volatile storage medium, implementing an embodiment by running computer program. 1 In the intelligent test paper approval plan.

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PUM

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Abstract

The invention discloses an intelligent test paper correction method. The method comprises the following steps of obtaining a to-be-identified original test paper image and a corresponding target test paper image; correcting and aligning the original test paper image and the target test paper image by using an alignment algorithm; performing question cutting on questions in the target test paper image to correspondingly obtain the question cutting information of the original test paper image; performing answer area detection and answer position identification on the original test paper image after question cutting; according to the standard answer area and all answer information of each question in the target test paper image, determining a standard answer area corresponding to all answer information in each question; and carrying out association matching on the answer determined in each test question area in the original test paper image and a correct answer in the target test paper image, and carrying out automatic correction on the test paper. According to the method, problems that paper marking cannot be carried out when a user does not answer at a labeling position in the current intelligent paper marking, and the paper marking quality is influenced by a draft, handwriting and the like of the user at the answering position are solved.

Description

Technical field [0001] The present invention relates to the field of test volume, and in particular, it relates to an intelligent test volume. Background technique [0002] Currently, in a certain scale of exam, a large number of padders need to participate in the scriptures. In order to ensure that the information is not leaked, this takes a short period of time, providing a large number of scriptures and calling more warerooms together. At the same time, the usual school exam and class quiz need to spend more energy to complete the money. This manual scroll method, with the increase of single-time scripping time, easy to cause incorrect mistakes. [0003] With the development of information technology, online education has developed rapidly. Many companies have begun to develop AI test volumes and other software, and improve online education chains to facilitate users. This approach to the test paper greatly improves the work efficiency, which greatly reduces the consumption of...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/20G06K9/32G06K9/34G06K9/62
CPCG06V30/43G06V30/418G06V30/416G06V30/414G06V10/22G06V20/62G06V30/153G06V30/10G06F18/22
Inventor 杨超肖刚周伟陈立
Owner HANGZHOU YUNTI TECH CO LTD