The Multiple Choice System for Optical Answer Sheet Using Image Processing
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Abstract
The objectives of this research were (1) to develop an examination system for multiple-choice test items using the image processing principle for marking on the normal A4 answer sheet template; and (2) to test the efficiency and accuracy of the system. Nowadays, multiple-choice answer sheet examination system has been receiving increasing attention, especially in educational organizations for examining the correct answers of multiple-choice questions of the students. In order to respond to the increasing demand of educational institutions and other organizations, many companies have undertaken on development of effective system. However, the specific types of multiple-choice answer sheets hinder the potential of system using. Image processing techniques, i.e. canny edge detection and image segmentation were used in this research. In the experimentation of the designed system by marking the answer sheet papers with five types of stationery, namely, HB pencil, 2B pencil, red ink pen, black ink pen, and blue ink pen, the results showed that the accuracy values were 96.3%, 100%, 100%, 100% and 100%, respectively.
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