Bio-Inspired Generalized Global Shape Approach for Writer Identification

Abstract—Writer identification is one of the areas in pattern recognition that attract many researchers to work in, particularly in forensic and biometric application, where the writing style can be used as biometric features for authenticating an identity. The challenging task in writer identificat...

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Main Authors:	Muda, A. K., Shamsuddin, S. M., Darus, M.
Format:	Conference or Workshop Item
Published:	Waset 2006
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utem.edu.my/25/ http://eprints.utem.edu.my/25/1/v16-11_CISE2006.pdf

id	utem-25
recordtype	eprints
spelling	utem-252015-05-28T02:16:29Z Bio-Inspired Generalized Global Shape Approach for Writer Identification Muda, A. K. Shamsuddin, S. M. Darus, M. TA Engineering (General). Civil engineering (General) Abstract—Writer identification is one of the areas in pattern recognition that attract many researchers to work in, particularly in forensic and biometric application, where the writing style can be used as biometric features for authenticating an identity. The challenging task in writer identification is the extraction of unique features, in which the individualistic of such handwriting styles can be adopted into bio-inspired generalized global shape for writer identification. In this paper, the feasibility of generalized global shape concept of complimentary binding in Artificial Immune System (AIS) for writer identification is explored. An experiment based on the proposed framework has been conducted to proof the validity and feasibility of the proposed approach for off-line writer identification. Waset 2006 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utem.edu.my/25/1/v16-11_CISE2006.pdf Muda, A. K. and Shamsuddin, S. M. and Darus, M. (2006) Bio-Inspired Generalized Global Shape Approach for Writer Identification. In: INTERNATIONAL ENFORMATIKA CONFERENCE, 24 - 26 Nov, 2006, Venice, Italy. http://eprints.utem.edu.my/25/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknikal Malaysia Melaka
building	UTeM Institutional Repository
collection	Online Access
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Muda, A. K. Shamsuddin, S. M. Darus, M. Bio-Inspired Generalized Global Shape Approach for Writer Identification
description	Abstract—Writer identification is one of the areas in pattern recognition that attract many researchers to work in, particularly in forensic and biometric application, where the writing style can be used as biometric features for authenticating an identity. The challenging task in writer identification is the extraction of unique features, in which the individualistic of such handwriting styles can be adopted into bio-inspired generalized global shape for writer identification. In this paper, the feasibility of generalized global shape concept of complimentary binding in Artificial Immune System (AIS) for writer identification is explored. An experiment based on the proposed framework has been conducted to proof the validity and feasibility of the proposed approach for off-line writer identification.
format	Conference or Workshop Item
author	Muda, A. K. Shamsuddin, S. M. Darus, M.
author_facet	Muda, A. K. Shamsuddin, S. M. Darus, M.
author_sort	Muda, A. K.
title	Bio-Inspired Generalized Global Shape Approach for Writer Identification
title_short	Bio-Inspired Generalized Global Shape Approach for Writer Identification
title_full	Bio-Inspired Generalized Global Shape Approach for Writer Identification
title_fullStr	Bio-Inspired Generalized Global Shape Approach for Writer Identification
title_full_unstemmed	Bio-Inspired Generalized Global Shape Approach for Writer Identification
title_sort	bio-inspired generalized global shape approach for writer identification
publisher	Waset
publishDate	2006
url	http://eprints.utem.edu.my/25/ http://eprints.utem.edu.my/25/1/v16-11_CISE2006.pdf
first_indexed	2018-09-05T09:47:22Z
last_indexed	2018-09-05T09:47:22Z
_version_	1610760420547624960

Bio-Inspired Generalized Global Shape Approach for Writer Identification

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