1 May 2011 Region growth-based feature extraction method for finger-vein recognition
Author Affiliations +
Optical Engineering, 50(5), 057208 (2011). doi:10.1117/1.3572129
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.
Huafeng Qin, Lan Qin, 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


Multi-biometric templates using fingerprint and voice
Proceedings of SPIE (March 17 2008)
Gait identification from invisible shadows
Proceedings of SPIE (May 04 2012)
A new approach for sclera vein recognition
Proceedings of SPIE (April 28 2010)

Back to Top