eprintid: 14698
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/46/98
datestamp: 2023-11-10 03:29:17
lastmod: 2023-11-10 03:29:17
status_changed: 2023-11-10 01:57:35
type: conference_item
metadata_visibility: show
creators_name: Jingyi, T.
creators_name: Hooi, Y.K.
creators_name: Bin, O.K.
title: Image Processing for Enhanced OMR Answer Matching Precision
ispublished: pub
keywords: Optical data processing, Education sectors; Error percentage; F1 scores; Form design; Image processing algorithm; Mark recognition, Image enhancement
note: cited By 4; Conference of 6th International Conference on Computer and Information Sciences, ICCOINS 2021 ; Conference Date: 13 July 2021 Through 15 July 2021; Conference Code:170762
abstract: Optical Mark Recognition (OMR) is used to automate answer matching especially in the education sector. OMR marking machine is costly and limited to specific OMR paper design, thus launching researchers using image processing to find less costly solutions. However, studies so far have achieved relatively low accuracy and poor consistency unless a fixed OMR form design is used. Accuracy drops with more OMR questions. Therefore, this study investigate means to improve OMR marking accuracy using enhanced algorithm designed for OMR marking. The results were compared against manual marking as the control and existing image processing algorithms. The metrics used are F1 score and error percentage for accuracy of detected answer options and marking fault respectively. The result is encouraging with consistent full accuracy for up to 90 questions as compared to previous works. © 2021 IEEE.
date: 2021
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112443524&doi=10.1109%2fICCOINS49721.2021.9497172&partnerID=40&md5=82f79971b8497a00f3acd8fc8956dd4f
id_number: 10.1109/ICCOINS49721.2021.9497172
full_text_status: none
publication: Proceedings - International Conference on Computer and Information Sciences: Sustaining Tomorrow with Digital Innovation, ICCOINS 2021
pagerange: 322-327
refereed: TRUE
isbn: 9781728171517
citation:   Jingyi, T. and Hooi, Y.K. and Bin, O.K.  (2021) Image Processing for Enhanced OMR Answer Matching Precision.  In: UNSPECIFIED.