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Invariant behavioural based discrimination for individual representation

Writer identification based on cursive words is one of the extensive behavioural biometric that has involved many researchers to work in. Recently, its main idea is in forensic investigation and biometric analysis as such the handwriting style can be used as individual behavioural adaptation for aut...

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Main Authors: Wong, Yee Leng, Shamsuddin, Siti Mariyam, Hashim, Nor Azman
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2021
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/94030/1/WongYeeLeng2021_InvariantBehaviouralBasedDiscriminationforIndividual.pdf
http://eprints.utm.my/id/eprint/94030/
http://dx.doi.org/10.11591/ijece.v11i1.pp736-744
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spelling my.utm.940302022-02-28T13:31:18Z http://eprints.utm.my/id/eprint/94030/ Invariant behavioural based discrimination for individual representation Wong, Yee Leng Shamsuddin, Siti Mariyam Hashim, Nor Azman QA75 Electronic computers. Computer science Writer identification based on cursive words is one of the extensive behavioural biometric that has involved many researchers to work in. Recently, its main idea is in forensic investigation and biometric analysis as such the handwriting style can be used as individual behavioural adaptation for authenticating an author. In this study, a novel approach of presenting cursive features of authors is presented. The invariants-based discriminability of the features is proposed by discretizing the moment features of each writer using biometric invariant discretization cutting point (BIDCP). BIDCP is introduced for features perseverance to obtain better individual representations and discriminations. Our experiments have revealed that by using the proposed method, the authorship identification based on cursive words is significantly increased with an average identification rate of 99.80%. Institute of Advanced Engineering and Science 2021-02 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/94030/1/WongYeeLeng2021_InvariantBehaviouralBasedDiscriminationforIndividual.pdf Wong, Yee Leng and Shamsuddin, Siti Mariyam and Hashim, Nor Azman (2021) Invariant behavioural based discrimination for individual representation. International Journal of Electrical and Computer Engineering, 11 (1). pp. 736-744. ISSN 2088-8708 http://dx.doi.org/10.11591/ijece.v11i1.pp736-744 DOI:10.11591/ijece.v11i1.pp736-744
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Wong, Yee Leng
Shamsuddin, Siti Mariyam
Hashim, Nor Azman
Invariant behavioural based discrimination for individual representation
description Writer identification based on cursive words is one of the extensive behavioural biometric that has involved many researchers to work in. Recently, its main idea is in forensic investigation and biometric analysis as such the handwriting style can be used as individual behavioural adaptation for authenticating an author. In this study, a novel approach of presenting cursive features of authors is presented. The invariants-based discriminability of the features is proposed by discretizing the moment features of each writer using biometric invariant discretization cutting point (BIDCP). BIDCP is introduced for features perseverance to obtain better individual representations and discriminations. Our experiments have revealed that by using the proposed method, the authorship identification based on cursive words is significantly increased with an average identification rate of 99.80%.
format Article
author Wong, Yee Leng
Shamsuddin, Siti Mariyam
Hashim, Nor Azman
author_facet Wong, Yee Leng
Shamsuddin, Siti Mariyam
Hashim, Nor Azman
author_sort Wong, Yee Leng
title Invariant behavioural based discrimination for individual representation
title_short Invariant behavioural based discrimination for individual representation
title_full Invariant behavioural based discrimination for individual representation
title_fullStr Invariant behavioural based discrimination for individual representation
title_full_unstemmed Invariant behavioural based discrimination for individual representation
title_sort invariant behavioural based discrimination for individual representation
publisher Institute of Advanced Engineering and Science
publishDate 2021
url http://eprints.utm.my/id/eprint/94030/1/WongYeeLeng2021_InvariantBehaviouralBasedDiscriminationforIndividual.pdf
http://eprints.utm.my/id/eprint/94030/
http://dx.doi.org/10.11591/ijece.v11i1.pp736-744
_version_ 1726791470564769792
score 13.211869

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