Investigation of dimensionality reduction in a finger vein verification system

Popular methods of protecting access such as Personal Identification Numbers and smart cards are subject to security risks that result from accidental loss or being stolen. Risk can be reduced by adopting direct methods that identify the person and these are generally biometric methods, such as iris...

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Main Authors:	Ting, Ei Wei, M. Z., Ibrahim, Mulvaney, D. J.
Format:	Conference or Workshop Item
Language:	English
Published:	Springer 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/21688/ http://umpir.ump.edu.my/id/eprint/21688/ http://umpir.ump.edu.my/id/eprint/21688/ http://umpir.ump.edu.my/id/eprint/21688/1/Investigation%20of%20Dimensionality%20Reduction%20in%20a%20Finger%20Vein%20Verification%20System1.pdf

id	ump-21688
recordtype	eprints
spelling	ump-216882019-10-09T06:45:37Z http://umpir.ump.edu.my/id/eprint/21688/ Investigation of dimensionality reduction in a finger vein verification system Ting, Ei Wei M. Z., Ibrahim Mulvaney, D. J. TK Electrical engineering. Electronics Nuclear engineering Popular methods of protecting access such as Personal Identification Numbers and smart cards are subject to security risks that result from accidental loss or being stolen. Risk can be reduced by adopting direct methods that identify the person and these are generally biometric methods, such as iris, face, voice and fingerprint recognition approaches. In this paper, a finger vein recognition method has been implemented in which the effect on performance has of using principal components analysis has been investigated. The data were obtained from the finger-vein database SDMULA-HMT and the images underwent contrast-limited adaptive histogram equalization and noise filtering for contrast improvement. The vein pattern was extracted using repeated line tracking and dimensionality reduction using principal components analysis to generate the feature vector. A ‘speeded-up robust features’ algorithm was used to determine the key points of interest and the Euclidean Distance was used to estimate similarity between database images. The results show that the use of a suitable number of principal components can improve the accuracy and reduce the computational overhead of the verification system. Springer 2018 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21688/1/Investigation%20of%20Dimensionality%20Reduction%20in%20a%20Finger%20Vein%20Verification%20System1.pdf Ting, Ei Wei and M. Z., Ibrahim and Mulvaney, D. J. (2018) Investigation of dimensionality reduction in a finger vein verification system. In: IT Convergence and Security 2017, 25-28 September 2017 , Seoul Korea. pp. 194-201., 449. ISBN 978-981-10-6451-7 https://doi.org/10.1007/978-981-10-6451-7_24 https://doi.org/10.1007/978-981-10-6451-7_24
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Ting, Ei Wei M. Z., Ibrahim Mulvaney, D. J. Investigation of dimensionality reduction in a finger vein verification system
description	Popular methods of protecting access such as Personal Identification Numbers and smart cards are subject to security risks that result from accidental loss or being stolen. Risk can be reduced by adopting direct methods that identify the person and these are generally biometric methods, such as iris, face, voice and fingerprint recognition approaches. In this paper, a finger vein recognition method has been implemented in which the effect on performance has of using principal components analysis has been investigated. The data were obtained from the finger-vein database SDMULA-HMT and the images underwent contrast-limited adaptive histogram equalization and noise filtering for contrast improvement. The vein pattern was extracted using repeated line tracking and dimensionality reduction using principal components analysis to generate the feature vector. A ‘speeded-up robust features’ algorithm was used to determine the key points of interest and the Euclidean Distance was used to estimate similarity between database images. The results show that the use of a suitable number of principal components can improve the accuracy and reduce the computational overhead of the verification system.
format	Conference or Workshop Item
author	Ting, Ei Wei M. Z., Ibrahim Mulvaney, D. J.
author_facet	Ting, Ei Wei M. Z., Ibrahim Mulvaney, D. J.
author_sort	Ting, Ei Wei
title	Investigation of dimensionality reduction in a finger vein verification system
title_short	Investigation of dimensionality reduction in a finger vein verification system
title_full	Investigation of dimensionality reduction in a finger vein verification system
title_fullStr	Investigation of dimensionality reduction in a finger vein verification system
title_full_unstemmed	Investigation of dimensionality reduction in a finger vein verification system
title_sort	investigation of dimensionality reduction in a finger vein verification system
publisher	Springer
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/21688/ http://umpir.ump.edu.my/id/eprint/21688/ http://umpir.ump.edu.my/id/eprint/21688/ http://umpir.ump.edu.my/id/eprint/21688/1/Investigation%20of%20Dimensionality%20Reduction%20in%20a%20Finger%20Vein%20Verification%20System1.pdf
first_indexed	2023-09-18T22:31:55Z
last_indexed	2023-09-18T22:31:55Z
_version_	1777416342505259008

Investigation of dimensionality reduction in a finger vein verification system

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