Edge Detection and Reduction of Brightness of Students' Bubble Form Images

Ilkin S., Sahin S.

6th International Conference on Graphic and Image Processing (ICGIP), Beijing, China, 24 - 26 October 2014, vol.9443, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 9443
  • Doi Number: 10.1117/12.2178842
  • City: Beijing
  • Country: China
  • Kocaeli University Affiliated: Yes

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.