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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
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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). |
format | Online Article Text |
id | pubmed-3251987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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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