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Proceedings Paper

A method of automatic recognition for answer sheet
Author(s): Yingjie Xia; Xiangru Yu; Rui Chen; Jinping Li; Xiang Wu
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Paper Abstract

The traditional method of recognizing an answer sheet is to use optical mark reader (OMR). A kind of OMR only recognizes a certain answer sheet with fixed format, which results in the poor universality of OMR. We propose a recognition method for answer sheet with arbitrary format. After designing the new answer sheet or using the existing ones, the printed answer sheets will become images by high-definition (HD) scanning after being filled in an exam. And the images of answer sheets will be recognized automatically by image processing techniques. According to the positioning cross found in answer sheets, the images will be corrected if they are tilted. Then candidate number recognition, option recognition and page number recognition will be carried out in the order specified by users. The method of maximum between-cluster variance will be used for candidate number recognition and option recognition. On the other hand, the page number of answer sheet will be recognized by template matching. Experimental results show that the accuracy can reach 100%. And this method can be realized easily, the cost is low, and it has good universality.

Paper Details

Date Published: 26 July 2018
PDF: 6 pages
Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 1082808 (26 July 2018); doi: 10.1117/12.2501869
Show Author Affiliations
Yingjie Xia, Univ. of Jinan (China)
Xiangru Yu, Univ. of Jinan (China)
Rui Chen, China North Industries Group Corp. (China)
Jinping Li, Univ. of Jinan (China)
Xiang Wu, Univ. of Jinan (China)


Published in SPIE Proceedings Vol. 10828:
Third International Workshop on Pattern Recognition
Xudong Jiang; Zhenxiang Chen; Guojian Chen, Editor(s)

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