The Performance Of User Verification Using Two Fingerprint Based On Error Rate

Biometric technology, especially fingerprint, attract users around the world to use it to secure their places or properties. On the current implementation of fingerprint based person verification, the system face several problems such as noisy finger and fingerprint misplacement by the user. When th...

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Main Author:	Mohamad Amir, Abu Seman
Format:	Thesis
Language:	eng eng
Published:	2002
Subjects:	HV Social Pathology Social and Public Welfare
Online Access:	https://etd.uum.edu.my/605/1/MOHAMAD_AMIR_B._ABU_SEMAN.pdf https://etd.uum.edu.my/605/2/1.MOHAMAD_AMIR_B._ABU_SEMAN.pdf
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id	my-uum-etd.605
record_format	uketd_dc
spelling	my-uum-etd.6052013-07-24T12:08:05Z The Performance Of User Verification Using Two Fingerprint Based On Error Rate 2002 Mohamad Amir, Abu Seman Sekolah Siswazah Sekolah Siswazah HV Social Pathology. Social and Public Welfare Biometric technology, especially fingerprint, attract users around the world to use it to secure their places or properties. On the current implementation of fingerprint based person verification, the system face several problems such as noisy finger and fingerprint misplacement by the user. When the problem only effected a small part of fingerprint, it is solved or minimized on the image processing and pattern recognition phase. But, when the problem involves a larger part of fingerprint, another approach needs to be used. To solve or minimize this kind of problem, the approach uses two fingerprints on the verification process have been experimented on this research. By not only referring to the thumbs which are usually used, the potential of the other fingerprint have been studied to find the two best fingerprints as used in this process. Using several simple methods to classify the decisions from both fingerprints; the best classifier have been used to study the performance level of the system compared to the current system used in single fingerprint. In this study, total error rate has been used as an indicator to the performance level of the system. Although the problems have not been totally solved, but the total error rates for fingerprint verification system has been minimized by using this approach. 2002 Thesis https://etd.uum.edu.my/605/ https://etd.uum.edu.my/605/1/MOHAMAD_AMIR_B._ABU_SEMAN.pdf application/pdf eng validuser https://etd.uum.edu.my/605/2/1.MOHAMAD_AMIR_B._ABU_SEMAN.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	HV Social Pathology Social and Public Welfare
spellingShingle	HV Social Pathology Social and Public Welfare Mohamad Amir, Abu Seman The Performance Of User Verification Using Two Fingerprint Based On Error Rate
description	Biometric technology, especially fingerprint, attract users around the world to use it to secure their places or properties. On the current implementation of fingerprint based person verification, the system face several problems such as noisy finger and fingerprint misplacement by the user. When the problem only effected a small part of fingerprint, it is solved or minimized on the image processing and pattern recognition phase. But, when the problem involves a larger part of fingerprint, another approach needs to be used. To solve or minimize this kind of problem, the approach uses two fingerprints on the verification process have been experimented on this research. By not only referring to the thumbs which are usually used, the potential of the other fingerprint have been studied to find the two best fingerprints as used in this process. Using several simple methods to classify the decisions from both fingerprints; the best classifier have been used to study the performance level of the system compared to the current system used in single fingerprint. In this study, total error rate has been used as an indicator to the performance level of the system. Although the problems have not been totally solved, but the total error rates for fingerprint verification system has been minimized by using this approach.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Mohamad Amir, Abu Seman
author_facet	Mohamad Amir, Abu Seman
author_sort	Mohamad Amir, Abu Seman
title	The Performance Of User Verification Using Two Fingerprint Based On Error Rate
title_short	The Performance Of User Verification Using Two Fingerprint Based On Error Rate
title_full	The Performance Of User Verification Using Two Fingerprint Based On Error Rate
title_fullStr	The Performance Of User Verification Using Two Fingerprint Based On Error Rate
title_full_unstemmed	The Performance Of User Verification Using Two Fingerprint Based On Error Rate
title_sort	performance of user verification using two fingerprint based on error rate
granting_institution	Universiti Utara Malaysia
granting_department	Sekolah Siswazah
publishDate	2002
url	https://etd.uum.edu.my/605/1/MOHAMAD_AMIR_B._ABU_SEMAN.pdf https://etd.uum.edu.my/605/2/1.MOHAMAD_AMIR_B._ABU_SEMAN.pdf
_version_	1747826954273292288

The Performance Of User Verification Using Two Fingerprint Based On Error Rate

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