Finger-Vein Verification Based on Multi-Features Fusion

This paper presents a new scheme to improve the performance of finger-vein identification systems. Firstly, a vein pattern extraction method to extract the finger-vein shape and orientation features is proposed. Secondly, to accommodate the potential local and global variations at the same time, a r...

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Detalles Bibliográficos
Autores principales: Qin, Huafeng, Qin, Lan, Xue, Lian, He, Xiping, Yu, Chengbo, Liang, Xinyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871125/
https://www.ncbi.nlm.nih.gov/pubmed/24196433
http://dx.doi.org/10.3390/s131115048
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author Qin, Huafeng
Qin, Lan
Xue, Lian
He, Xiping
Yu, Chengbo
Liang, Xinyuan
author_facet Qin, Huafeng
Qin, Lan
Xue, Lian
He, Xiping
Yu, Chengbo
Liang, Xinyuan
author_sort Qin, Huafeng
collection PubMed
description This paper presents a new scheme to improve the performance of finger-vein identification systems. Firstly, a vein pattern extraction method to extract the finger-vein shape and orientation features is proposed. Secondly, to accommodate the potential local and global variations at the same time, a region-based matching scheme is investigated by employing the Scale Invariant Feature Transform (SIFT) matching method. Finally, the finger-vein shape, orientation and SIFT features are combined to further enhance the performance. The experimental results on databases of 426 and 170 fingers demonstrate the consistent superiority of the proposed approach.
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spelling pubmed-38711252013-12-26 Finger-Vein Verification Based on Multi-Features Fusion Qin, Huafeng Qin, Lan Xue, Lian He, Xiping Yu, Chengbo Liang, Xinyuan Sensors (Basel) Article This paper presents a new scheme to improve the performance of finger-vein identification systems. Firstly, a vein pattern extraction method to extract the finger-vein shape and orientation features is proposed. Secondly, to accommodate the potential local and global variations at the same time, a region-based matching scheme is investigated by employing the Scale Invariant Feature Transform (SIFT) matching method. Finally, the finger-vein shape, orientation and SIFT features are combined to further enhance the performance. The experimental results on databases of 426 and 170 fingers demonstrate the consistent superiority of the proposed approach. Molecular Diversity Preservation International (MDPI) 2013-11-05 /pmc/articles/PMC3871125/ /pubmed/24196433 http://dx.doi.org/10.3390/s131115048 Text en © 2013 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
Qin, Huafeng
Qin, Lan
Xue, Lian
He, Xiping
Yu, Chengbo
Liang, Xinyuan
Finger-Vein Verification Based on Multi-Features Fusion
title Finger-Vein Verification Based on Multi-Features Fusion
title_full Finger-Vein Verification Based on Multi-Features Fusion
title_fullStr Finger-Vein Verification Based on Multi-Features Fusion
title_full_unstemmed Finger-Vein Verification Based on Multi-Features Fusion
title_short Finger-Vein Verification Based on Multi-Features Fusion
title_sort finger-vein verification based on multi-features fusion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871125/
https://www.ncbi.nlm.nih.gov/pubmed/24196433
http://dx.doi.org/10.3390/s131115048
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AT qinlan fingerveinverificationbasedonmultifeaturesfusion
AT xuelian fingerveinverificationbasedonmultifeaturesfusion
AT hexiping fingerveinverificationbasedonmultifeaturesfusion
AT yuchengbo fingerveinverificationbasedonmultifeaturesfusion
AT liangxinyuan fingerveinverificationbasedonmultifeaturesfusion

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