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Finger Vein Recognition Using Local Line Binary Pattern

In this paper, a personal verification method using finger vein is presented. Finger vein can be considered more secured compared to other hands based biometric traits such as fingerprint and palm print because the features are inside the human body. In the proposed method, a new texture descriptor...

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Detalles Bibliográficos
Autores principales: Rosdi, Bakhtiar Affendi, Shing, Chai Wuh, Suandi, Shahrel Azmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251987/
https://www.ncbi.nlm.nih.gov/pubmed/22247670
http://dx.doi.org/10.3390/s111211357
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author Rosdi, Bakhtiar Affendi
Shing, Chai Wuh
Suandi, Shahrel Azmin
author_facet Rosdi, Bakhtiar Affendi
Shing, Chai Wuh
Suandi, Shahrel Azmin
author_sort Rosdi, Bakhtiar Affendi
collection PubMed
description In this paper, a personal verification method using finger vein is presented. Finger vein can be considered more secured compared to other hands based biometric traits such as fingerprint and palm print because the features are inside the human body. In the proposed method, a new texture descriptor called local line binary pattern (LLBP) is utilized as feature extraction technique. The neighbourhood shape in LLBP is a straight line, unlike in local binary pattern (LBP) which is a square shape. Experimental results show that the proposed method using LLBP has better performance than the previous methods using LBP and local derivative pattern (LDP).
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spelling pubmed-32519872012-01-13 Finger Vein Recognition Using Local Line Binary Pattern Rosdi, Bakhtiar Affendi Shing, Chai Wuh Suandi, Shahrel Azmin Sensors (Basel) Article In this paper, a personal verification method using finger vein is presented. Finger vein can be considered more secured compared to other hands based biometric traits such as fingerprint and palm print because the features are inside the human body. In the proposed method, a new texture descriptor called local line binary pattern (LLBP) is utilized as feature extraction technique. The neighbourhood shape in LLBP is a straight line, unlike in local binary pattern (LBP) which is a square shape. Experimental results show that the proposed method using LLBP has better performance than the previous methods using LBP and local derivative pattern (LDP). Molecular Diversity Preservation International (MDPI) 2011-11-30 /pmc/articles/PMC3251987/ /pubmed/22247670 http://dx.doi.org/10.3390/s111211357 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Rosdi, Bakhtiar Affendi
Shing, Chai Wuh
Suandi, Shahrel Azmin
Finger Vein Recognition Using Local Line Binary Pattern
title Finger Vein Recognition Using Local Line Binary Pattern
title_full Finger Vein Recognition Using Local Line Binary Pattern
title_fullStr Finger Vein Recognition Using Local Line Binary Pattern
title_full_unstemmed Finger Vein Recognition Using Local Line Binary Pattern
title_short Finger Vein Recognition Using Local Line Binary Pattern
title_sort finger vein recognition using local line binary pattern
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251987/
https://www.ncbi.nlm.nih.gov/pubmed/22247670
http://dx.doi.org/10.3390/s111211357
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