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Optical Engineering

Region growth-based feature extraction method for finger-vein recognition
Author(s): Huafeng Qin; Lan Qin; Chengbo Yu
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Paper Abstract

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.

Paper Details

Date Published: 1 May 2011
PDF: 9 pages
Opt. Eng. 50(5) 057208 doi: 10.1117/1.3572129
Published in: Optical Engineering Volume 50, Issue 5
Show Author Affiliations
Huafeng Qin, Chongqing Univ. (China)
Lan Qin, Chongqing Univ. (China)
Chengbo Yu, Chongqing Institute of Technology (China)


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