
Proceedings Paper
Edge detection and reduction of brightness of students’ bubble form imagesFormat | Member Price | Non-Member Price |
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Paper Abstract
Optical Mark Recognition (OMR) is a traditional data input technique and an important human computer interaction technique which is widely used in education testing. This paper proposes a new idea for grading multiple-choice test which is based on a camera on smartphone. The system key techniques and relevant implementations, which include the image scan, edge detection and reduction of brightness on colorful bubble form images, are presented.
Paper Details
Date Published: 4 March 2015
PDF: 5 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430F (4 March 2015); doi: 10.1117/12.2178842
Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)
PDF: 5 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430F (4 March 2015); doi: 10.1117/12.2178842
Show Author Affiliations
Sümeyya İlkin, Kocaeli Univ. (Turkey)
Suhap Şahin, Kocaeli Univ. (Turkey)
Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)
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