APPLICATION OF OPTICAL MARK RECOGNITION TECHNIQUES TO SURVEY ANSWER SHEETS AT DALAT UNIVERSITY
Keywords:Computer vision, Image processing, Optical Mark Recognition (OMR), Survey answer sheet.
In this paper, we examine some image processing techniques used in optical mark recognition, and then we introduce an application that collects data automatically from survey answer sheets at Dalat University. This application is constructed with the Aforge framework. Two types of survey answer sheets are used as input forms for our application: the teaching quality and the administrative quality survey answer sheets. Results show that our application has good performance in recognizing handwritten marks, with an accuracy of 98.9% per 667 answer sheets. Moreover, this application is clearly a time-saving solution for administrative staff because the inputting process is now nine times faster than before.
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Copyright (c) 2021 Thai Duy Quy, Phan Thi Thanh Nga, Nguyen Van Huy Dung.
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