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. This application is constructed with the Aforge framework. Two types of survey answer shee...

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Main Authors: Thai Duy Quy, Phan Thi Thanh Nga, Nguyen Van Huy Dung
Format: Article
Language:English
Published: Dalat University 2021-02-01
Series:Tạp chí Khoa học Đại học Đà Lạt
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Online Access:http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/791
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author Thai Duy Quy
Phan Thi Thanh Nga
Nguyen Van Huy Dung
author_facet Thai Duy Quy
Phan Thi Thanh Nga
Nguyen Van Huy Dung
author_sort Thai Duy Quy
collection DOAJ
description 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.
format Article
id doaj-art-341d9fdd3245431b976aa69550da6a84
institution Kabale University
issn 0866-787X
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language English
publishDate 2021-02-01
publisher Dalat University
record_format Article
series Tạp chí Khoa học Đại học Đà Lạt
spelling doaj-art-341d9fdd3245431b976aa69550da6a842025-02-02T02:01:29ZengDalat UniversityTạp chí Khoa học Đại học Đà Lạt0866-787X0866-787X2021-02-011119310310.37569/DalatUniversity.11.1.791(2021)354APPLICATION OF OPTICAL MARK RECOGNITION TECHNIQUES TO SURVEY ANSWER SHEETS AT DALAT UNIVERSITYThai Duy Quy0Phan Thi Thanh Nga1Nguyen Van Huy Dung2Trường Đại học Đà LạtTrường Đại học Đà LạtTrường Đại học Đà LạtIn 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.http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/791nhận dạng ký tự đánh dấu (omr)phiếu khảo sátnhận dạng ảnh sốthị giác máy tính.
spellingShingle Thai Duy Quy
Phan Thi Thanh Nga
Nguyen Van Huy Dung
APPLICATION OF OPTICAL MARK RECOGNITION TECHNIQUES TO SURVEY ANSWER SHEETS AT DALAT UNIVERSITY
Tạp chí Khoa học Đại học Đà Lạt
nhận dạng ký tự đánh dấu (omr)
phiếu khảo sát
nhận dạng ảnh số
thị giác máy tính.
title APPLICATION OF OPTICAL MARK RECOGNITION TECHNIQUES TO SURVEY ANSWER SHEETS AT DALAT UNIVERSITY
title_full APPLICATION OF OPTICAL MARK RECOGNITION TECHNIQUES TO SURVEY ANSWER SHEETS AT DALAT UNIVERSITY
title_fullStr APPLICATION OF OPTICAL MARK RECOGNITION TECHNIQUES TO SURVEY ANSWER SHEETS AT DALAT UNIVERSITY
title_full_unstemmed APPLICATION OF OPTICAL MARK RECOGNITION TECHNIQUES TO SURVEY ANSWER SHEETS AT DALAT UNIVERSITY
title_short APPLICATION OF OPTICAL MARK RECOGNITION TECHNIQUES TO SURVEY ANSWER SHEETS AT DALAT UNIVERSITY
title_sort application of optical mark recognition techniques to survey answer sheets at dalat university
topic nhận dạng ký tự đánh dấu (omr)
phiếu khảo sát
nhận dạng ảnh số
thị giác máy tính.
url http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/791
work_keys_str_mv AT thaiduyquy applicationofopticalmarkrecognitiontechniquestosurveyanswersheetsatdalatuniversity
AT phanthithanhnga applicationofopticalmarkrecognitiontechniquestosurveyanswersheetsatdalatuniversity
AT nguyenvanhuydung applicationofopticalmarkrecognitiontechniquestosurveyanswersheetsatdalatuniversity