Multibiometric systems based verification technique

Multibiometric systems represent the fusion of two or more unimodal biometric systems. Such systems are expected to be more reliable due to the presence of multiple independent pieces of evidence. Since security is one of the important concerns of twenty first century, multibiometric systems can pla...

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Main Authors:	Anwar, Farhat, Rahman, Md. Arafatur, Azad, Md. Saiful
Format:	Article
Language:	English
Published:	EuroJournals Publishing, Inc. 2009
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/2774/ http://irep.iium.edu.my/2774/ http://irep.iium.edu.my/2774/1/ejsr_34_2_13.pdf

id	iium-2774
recordtype	eprints
spelling	iium-27742019-11-26T02:59:36Z http://irep.iium.edu.my/2774/ Multibiometric systems based verification technique Anwar, Farhat Rahman, Md. Arafatur Azad, Md. Saiful QA75 Electronic computers. Computer science Multibiometric systems represent the fusion of two or more unimodal biometric systems. Such systems are expected to be more reliable due to the presence of multiple independent pieces of evidence. Since security is one of the important concerns of twenty first century, multibiometric systems can play an important role in ensuring security. In this paper, a multibiometric system is proposed for human verification i.e. authenticating the identity of an individual. The geometrical dimensions of a human hand, such as hand geometry, finger stripe geometry or palm geometry, contain information that is capable of verifying an individual. Among them, hand geometry based verification is the oldest implemented biometric type (debuting in the market in the late 1980s) and finger stripe is the most recent biometric type proposed. The proposed multibiometric system uses both hand and finger stripe geometry for verification. Artificial Neural Network (ANN) is applied for feature learning and verification process. At the end of the paper, results based on 200 individuals and comparison between proposed method and published alternative methods are demonstrated. The experimental results exhibit that the proposed method outperforms the existing methods. EuroJournals Publishing, Inc. 2009 Article PeerReviewed application/pdf en http://irep.iium.edu.my/2774/1/ejsr_34_2_13.pdf Anwar, Farhat and Rahman, Md. Arafatur and Azad, Md. Saiful (2009) Multibiometric systems based verification technique. European Journal of Scientific Research, 34 (2). pp. 260-270. ISSN 1450-216X, 1450-202X http://www.eurojournals.com/ejsr_34_2_13.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Anwar, Farhat Rahman, Md. Arafatur Azad, Md. Saiful Multibiometric systems based verification technique
description	Multibiometric systems represent the fusion of two or more unimodal biometric systems. Such systems are expected to be more reliable due to the presence of multiple independent pieces of evidence. Since security is one of the important concerns of twenty first century, multibiometric systems can play an important role in ensuring security. In this paper, a multibiometric system is proposed for human verification i.e. authenticating the identity of an individual. The geometrical dimensions of a human hand, such as hand geometry, finger stripe geometry or palm geometry, contain information that is capable of verifying an individual. Among them, hand geometry based verification is the oldest implemented biometric type (debuting in the market in the late 1980s) and finger stripe is the most recent biometric type proposed. The proposed multibiometric system uses both hand and finger stripe geometry for verification. Artificial Neural Network (ANN) is applied for feature learning and verification process. At the end of the paper, results based on 200 individuals and comparison between proposed method and published alternative methods are demonstrated. The experimental results exhibit that the proposed method outperforms the existing methods.
format	Article
author	Anwar, Farhat Rahman, Md. Arafatur Azad, Md. Saiful
author_facet	Anwar, Farhat Rahman, Md. Arafatur Azad, Md. Saiful
author_sort	Anwar, Farhat
title	Multibiometric systems based verification technique
title_short	Multibiometric systems based verification technique
title_full	Multibiometric systems based verification technique
title_fullStr	Multibiometric systems based verification technique
title_full_unstemmed	Multibiometric systems based verification technique
title_sort	multibiometric systems based verification technique
publisher	EuroJournals Publishing, Inc.
publishDate	2009
url	http://irep.iium.edu.my/2774/ http://irep.iium.edu.my/2774/ http://irep.iium.edu.my/2774/1/ejsr_34_2_13.pdf
first_indexed	2023-09-18T20:10:24Z
last_indexed	2023-09-18T20:10:24Z
_version_	1777407439309635584

Multibiometric systems based verification technique

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