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

Huafeng Qin; Lan Qin; Chengbo Yu

doi:10.1117/1.3572129

1 May 2011 Region growth-based feature extraction method for finger-vein recognition

Huafeng Qin, Lan Qin, Chengbo Yu

Author Affiliations +

Optical Engineering, Vol. 50, Issue 5, 057208 (May 2011). https://doi.org/10.1117/1.3572129

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.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Huafeng Qin, Lan Qin, and Chengbo Yu "Region growth-based feature extraction method for finger-vein recognition," Optical Engineering 50(5), 057208 (1 May 2011). https://doi.org/10.1117/1.3572129

Published: 1 May 2011

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