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- Title
Region growth-based feature extraction method for finger-vein recognition.
- Authors
Qin, Huafeng; Qin, Lan; Yu, Chengbo
- 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.
- Subjects
BIOMETRIC identification; ANTHROPOMETRY; TEMPLATE matching (Digital image processing); DIGITAL image processing; PATTERN recognition systems; CROSS-sectional method
- Publication
Optical Engineering, 2011, Vol 50, Issue 5, p057208
- ISSN
0091-3286
- Publication type
Article
- DOI
10.1117/1.3572129