Neural Network in Biometrics : A Survey in Fingerprint Classification

Fingerprint classification has become a popular research topic due to its applicability in authentication and identification. There are several approaches in fingerprint classification system which are structural, syntactic, statistical and neural networks. The purpose of fingerprint classfication...

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Main Author:	Sarah Nazuha, Mohamad Nasir
Format:	Thesis
Language:	eng eng
Published:	2003
Subjects:	QP Physiology
Online Access:	https://etd.uum.edu.my/1128/1/SARAH_NAZUHA_BT._MOHAMAD_NASIR.pdf https://etd.uum.edu.my/1128/2/1.SARAH_NAZUHA_BT._MOHAMAD_NASIR.pdf
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id	my-uum-etd.1128
record_format	uketd_dc
spelling	my-uum-etd.11282013-07-24T12:10:31Z Neural Network in Biometrics : A Survey in Fingerprint Classification 2003-07-29 Sarah Nazuha, Mohamad Nasir Sekolah Siswazah Graduate School QP Physiology Fingerprint classification has become a popular research topic due to its applicability in authentication and identification. There are several approaches in fingerprint classification system which are structural, syntactic, statistical and neural networks. The purpose of fingerprint classfication is to categorize a fingerprint into certain category based on its global pattern configuration. The analysis of comparisons between neural-network and non-neural network approaches have pointed out the advantages of using neural network in fingerprint classification. The results show that the combination of neural networks with other machine learning approach outperforms the neural networks and machine learning approach is suggested in this paper. The clear advantages of supervised and unsupervised learning in neural networks methods support the objective of this study that to suggest the neural network approach for fingerprint classification. A model of neural network combined with machine learning approach (SOM-LVQ and MLP) is proposed at the end of this study. SOM-LVQ is used for pre-classification and MLP classifier is used for classification. 2003-07 Thesis https://etd.uum.edu.my/1128/ https://etd.uum.edu.my/1128/1/SARAH_NAZUHA_BT._MOHAMAD_NASIR.pdf application/pdf eng validuser https://etd.uum.edu.my/1128/2/1.SARAH_NAZUHA_BT._MOHAMAD_NASIR.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QP Physiology
spellingShingle	QP Physiology Sarah Nazuha, Mohamad Nasir Neural Network in Biometrics : A Survey in Fingerprint Classification
description	Fingerprint classification has become a popular research topic due to its applicability in authentication and identification. There are several approaches in fingerprint classification system which are structural, syntactic, statistical and neural networks. The purpose of fingerprint classfication is to categorize a fingerprint into certain category based on its global pattern configuration. The analysis of comparisons between neural-network and non-neural network approaches have pointed out the advantages of using neural network in fingerprint classification. The results show that the combination of neural networks with other machine learning approach outperforms the neural networks and machine learning approach is suggested in this paper. The clear advantages of supervised and unsupervised learning in neural networks methods support the objective of this study that to suggest the neural network approach for fingerprint classification. A model of neural network combined with machine learning approach (SOM-LVQ and MLP) is proposed at the end of this study. SOM-LVQ is used for pre-classification and MLP classifier is used for classification.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Sarah Nazuha, Mohamad Nasir
author_facet	Sarah Nazuha, Mohamad Nasir
author_sort	Sarah Nazuha, Mohamad Nasir
title	Neural Network in Biometrics : A Survey in Fingerprint Classification
title_short	Neural Network in Biometrics : A Survey in Fingerprint Classification
title_full	Neural Network in Biometrics : A Survey in Fingerprint Classification
title_fullStr	Neural Network in Biometrics : A Survey in Fingerprint Classification
title_full_unstemmed	Neural Network in Biometrics : A Survey in Fingerprint Classification
title_sort	neural network in biometrics : a survey in fingerprint classification
granting_institution	Universiti Utara Malaysia
granting_department	Sekolah Siswazah
publishDate	2003
url	https://etd.uum.edu.my/1128/1/SARAH_NAZUHA_BT._MOHAMAD_NASIR.pdf https://etd.uum.edu.my/1128/2/1.SARAH_NAZUHA_BT._MOHAMAD_NASIR.pdf
_version_	1747827077311102976

Neural Network in Biometrics : A Survey in Fingerprint Classification

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