Paper
4 March 2015 Edge detection and reduction of brightness of students’ bubble form images
Sümeyya İlkin, Suhap Şahin
Author Affiliations +
Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94430F (2015) https://doi.org/10.1117/12.2178842
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sümeyya İlkin and Suhap Şahin "Edge detection and reduction of brightness of students’ bubble form images", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430F (4 March 2015); https://doi.org/10.1117/12.2178842
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Cited by 1 scholarly publication.
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KEYWORDS
Edge detection

Detection and tracking algorithms

Image processing

Cameras

Scanners

Image resolution

Convolution

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