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...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Dalat University
2021-02-01
|
Series: | Tạp chí Khoa học Đại học Đà Lạt |
Subjects: | |
Online Access: | http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/791 |
id |
doaj-341d9fdd3245431b976aa69550da6a84 |
---|---|
record_format |
Article |
spelling |
doaj-341d9fdd3245431b976aa69550da6a842021-06-16T03:30:10ZengDalat 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. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Thai Duy Quy Phan Thi Thanh Nga Nguyen Van Huy Dung |
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. |
author_facet |
Thai Duy Quy Phan Thi Thanh Nga Nguyen Van Huy Dung |
author_sort |
Thai Duy Quy |
title |
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_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_sort |
application of optical mark recognition techniques to survey answer sheets at dalat university |
publisher |
Dalat University |
series |
Tạp chí Khoa học Đại học Đà Lạt |
issn |
0866-787X 0866-787X |
publishDate |
2021-02-01 |
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. |
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 |
_version_ |
1721375589988827136 |