TAILIEUCHUNG - Application of optical mark recognition techniques to survey answer sheets at Dalat university

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. | DALAT UNIVERSITY JOURNAL OF SCIENCE Volume 11 Issue 1 2020 93-103 APPLICATION OF OPTICAL MARK RECOGNITION TECHNIQUES TO SURVEY ANSWER SHEETS AT DALAT UNIVERSITY Thai Duy Quya Phan Thi Thanh Ngaa Nguyen Van Huy Dunga a The Facuty of Information and Technology Dalat University Lam Dong Vietnam Corresponding author Email quytd@ Article history Received November 18th 2020 Received in revised form December 22nd 2020 Accepted December 29th 2020 Available online February 5th 2021 Abstract 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 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. Keywords Computer vision Image processing Optical mark recognition Survey answer sheet. DOI http 2021 Article type peer-reviewed Full-length research article Copyright 2021 The author s . Licensing This article is licensed under a CC BY-NC 93 DALAT UNIVERSITY JOURNAL OF SCIENCE NATURAL SCIENCES AND TECHNOLOGY 1. INTRODUCTION Nowadays automation techniques help to enhance the speed and efficiency of information processing and communication. Since their inception automation techniques have undergone many development stages and have made great advances in technical and scientific calculations as well as in administrative management Ngô amp Đỗ 2000 . One of the focus areas for automation is image recognition in which information is .

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