Intelligent paper test paper total score identification method and system

Abstract

The invention discloses an intelligent paper test paper total score identification method and system, which are applied in the field of teacher test paper scoring for improving efficiency , in the method, numbers are accurately segmentedthrough a segmentation algorithm, a unit digit and a ten digit of a score of a corresponding question number in a score region picture are segmented and marked toobtain a marked score region picture, and real numbers are restored. The method is applied to the specific field of paper scoring of teachers and corresponds to a question number score extraction mode. In order to help a teacher group to increase the speed in paper scoring and reduce the burden and pressure of the teacher group, on the premise of changing the score of each question, the corresponding question number score of a score calculation column is recognized through a handwritten numeric recognition neural network, and the scores are added to obtain a total score. A total score calculation result is obtained through rapid identification and rapid calculation, the paper scoring speed is greatly increased, and therefore secondary operation is avoided.

Description

technical field [0001] The present disclosure relates to the fields of computer image processing and computer vision, and in particular to a method and system for identifying the total score of an intelligent paper test paper. Background technique [0002] In the study and life of the school, the examination is indispensable. Regardless of primary and secondary schools, universities, it is to allow students to judge their own deficiencies through a standard, but along with the examination, changing the test paper is an indispensable link. For students For teachers, the score is the proof of their own strength, and for the teacher, it is the responsibility of the students to carefully correct the test paper. However, after the correction, the last step is to count the total score, and this is a major obstacle affecting the high efficiency of the test paper . Nowadays, due to funding and other problems, many schools are able to use computer-based correction every time they ch...

AI Technical Summary

Problems solved by technology

And most of them use integrated OCR (Optical Character Recognition) technology to recognize the text level, and the accuracy of handwritten digit recognition is not high. It can be seen that the effect of OCR technology in this respect is not as good as expected, and most of them use identifiers to recognize numbers and characters. The division between numbers cannot restore the real fraction very well, and it is more difficult to use for arithmetic operations

The above-mentioned existing methods mainly have the following defects: 1. There is no application for improving efficiency in the field of teacher correction

2. Most of them are recognized by OCR technology, which does not provide a good recognition effect for handwritten and adjacent numbers

3. At the same time, the real number cannot be completely restored

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