Finger-Vein Verification Based on Multi-Features Fusion

Sensors

Huafeng Qin³  Lan Qin²  Lian Xue²  Xiping He³  Chengbo Yu¹ 

[1] College of Electronic and Automation, Chongqing University of Technology, Chongqing 400045, China; E-Mail:;Key Laboratory of Optoelectronic Technology and Systems of Ministry of Education, College of Opto-Electronic Engineering, Chongqing University, Chongqing 400030, China; E-Mails:;School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing 400030, China; E-Mails:

关键词: personal identification;    finger-vein;    scale invariant feature transform;    orientation encoding;    multi-features fusion;   

DOI  :  10.3390/s131115048

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.