Next Article in Journal
Previous Article in Journal
Sensors 2013, 13(11), 15048-15067; doi:10.3390/s131115048
Article

Finger-Vein Verification Based on Multi-Features Fusion

1,2,* , 2
, 2
, 1
, 3
 and 1
Received: 6 July 2013; in revised form: 14 October 2013 / Accepted: 21 October 2013 / Published: 5 November 2013
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [332 KB, uploaded 21 June 2014]
Abstract: 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.
Keywords: personal identification; finger-vein; scale invariant feature transform; orientation encoding; multi-features fusion personal identification; finger-vein; scale invariant feature transform; orientation encoding; multi-features fusion
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Qin, H.; Qin, L.; Xue, L.; He, X.; Yu, C.; Liang, X. Finger-Vein Verification Based on Multi-Features Fusion. Sensors 2013, 13, 15048-15067.

AMA Style

Qin H, Qin L, Xue L, He X, Yu C, Liang X. Finger-Vein Verification Based on Multi-Features Fusion. Sensors. 2013; 13(11):15048-15067.

Chicago/Turabian Style

Qin, Huafeng; Qin, Lan; Xue, Lian; He, Xiping; Yu, Chengbo; Liang, Xinyuan. 2013. "Finger-Vein Verification Based on Multi-Features Fusion." Sensors 13, no. 11: 15048-15067.



Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert