Machine Vision, Pattern Recognition

Region growth–based feature extraction method for finger-vein recognition

[+] Author Affiliations
Huafeng Qin

Chongqing University, College of Opto-Electronic Engineering, Sha pin ba Street 174, Chongqing 400030, China

Lan Qin

Chongqing University, College of Opto-Electronic Engineering, Sha pin ba Street 174, Chongqing 400030, China

Chengbo Yu

College of Electronic and Automation, Chongqing University of Technology, Ba nan Street Hong guang road 69, Chongqing 400050, China

Opt. Eng. 50(5), 057208 (May 13, 2011). doi:10.1117/1.3572129
History: Received January 07, 2011; Revised March 07, 2011; Accepted March 09, 2011; Published May 13, 2011; Online May 13, 2011
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Finger-vein recognition uses the finger-vein pattern extracted from the captured vein images to identify individuals. However, the captured vein images contain irregular shading and noise. To extract effective vein pattern from these unclear images, this paper proposes a novel vein pattern extraction approach by running the region growing operator on the different seeds. As the proposed method emphasizes continuity and symmetry of valleys in the cross-sectional profile, it can extract the robust finger-vein patterns and be against irregular shading and noise. Experimental results show that the proposed method achieves robust vein pattern extraction and provides a lower equal error rate in finger-vein recognition.

Figures in this Article
© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Topics

Veins

Citation

Huafeng Qin ; Lan Qin and Chengbo Yu
"Region growth–based feature extraction method for finger-vein recognition", Opt. Eng. 50(5), 057208 (May 13, 2011). ; http://dx.doi.org/10.1117/1.3572129


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