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http://dx.doi.org/10.5392/JKCA.2016.16.09.694

Automatic Identification of the OMR Answer Marking Using Smart Phone  

Noh, Duck-Soo (경일대학교 전자공학과)
Kim, Jin-Ho (경일대학교 전자공학과)
Publication Information
The Journal of the Korea Contents Association / v.16, no.9, 2016 , pp. 694-701 More about this Journal
Abstract
The smart phone application to provide auto identification and answer explanation of multiple choice answer for each OMR answer item in the test paper different from ordinary OMR test by using smart phone is very useful in terms of a self learning and a smart learning. In this paper, smart phone application of OMR mark identification for each question item in test paper is proposed. QR code for each OMR answer is provided for the encrypted correct answer and the reference location of multiple choice answer rectangle location. The OMR answer region is extracted and the marked answer is identified in each question of test paper, in order to compare between the marking answer and the correct answer. Experimental result of smart phone application of the proposed algorithm for the OMR answer images with various size and direction shows excellent recognition performance.
Keywords
OMR Test Paper; Identify Answer; Smart Phone Application; Smart Learning;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 S. Gaikwad, "Image Processing Based OMR Sheet Scanning," IJARECE, Vol.4, Issue.3, pp.519-522, 2015.
2 A. Zampirolli, J. A. Gonzalez, and O. Neves, "Automatic Correction of Multiple-Choice Tests using Digital Cameras and Image Processing," Universidade Federal do ABC, Brasil, 2010.
3 J. Zhou, Y. Kiu, and A. Kumar, "Research on Distortion Correction of QR CodeImages," Int. J. of Computer Science and Technology, pp.415-420, 2012.
4 박광욱, 한상룔, 장보현, 이종연, "이차원 QR Code의 디코딩 알고리즘," 한국컴퓨터교육학회 동계 학술발표논문지, 제18권, 제1호, pp.131-132, 2014.
5 Geetha Kiran A and Murali S, "Automatic Rectification of Perspective Distortion from a Single Image Using Plane Homography," Int. J. of Computational Sciences & Applications, Vol.3, No.5, pp.47-58, 2013.   DOI
6 B. Gato, I. Pratikakis, and S. Perantonis, "Adaptive Degraded Document Image Binarization," Pattern Recognition, Vol.39, pp.317-327, 2006.   DOI
7 김진호, "카메라기반의 왜곡이 보정된 흑백 문서영상 생성," 한국콘텐츠학회논문지, 제15권, 제11호, pp.18-26, 2015.   DOI