Intelligent marking method and system of objective questions

Abstract

The invention discloses an intelligent marking method and system of objective questions. The method comprises the following steps: obtaining an answer sheet image; carrying out gray-scale processing on the answer sheet image to obtain a gray-scale image; according to an answer sheet template parameter, segmenting the answering area of the gray-scale image to obtain answering area sub-images; extracting the filling characteristic of each option in each sub-image, wherein the filling characteristic is used for describing the filling degree of the single option; on the basis of a statistic model and the filling characteristic, identifying the option to obtain the filling degree score of the option; and according to the filling degree score of the option, determining the filled option. The accuracy of option answer judgment can be improved.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a method and system for intelligent marking of objective questions. Background technique [0002] With the development of computer science and technology, the ability of automatic information processing has been significantly improved. The education model is also gradually developing in the direction of information automation. The emergence of the automatic marking system will liberate people from heavy mechanical labor, such as marking objective questions. Marking papers by machine is helpful for teachers to make an objective and fair evaluation of students' grades, and the results of automatic marking are easy to save, count and query. When the existing automatic marking system judges the answers to objective questions, it mainly judges whether the options are filled in or not based on the proportion of foreground and background pixels filled in the option area ...

AI Technical Summary

Problems solved by technology

The method has high requirements on the quality of the answer sheet. When the paper quality of the answer sheet is poor, it will seriously affect the judgment of the current option answer; at the same time, due to the difference in performance of different devices, the collected answer sheet images are not as clear as they should be. It will also be different, and it is difficult to eliminate the interference in the existing method to judge the answer of the option; in addition, the existing method has stricter requirements on the filling method of the user. The degree of filling is relatively heavy, and some of them are slightly filled. The traditional method is prone to misjudgment in places where the degree of filling is relatively light, thereby reducing the recognition accuracy of the entire marking system.

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