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Finger-Vein Verification Based on Multi-Features Fusion
- Source :
- Sensors, Vol 13, Iss 11, Pp 15048-15067 (2013)
- Publication Year :
- 2013
- Publisher :
- MDPI AG, 2013.
-
Abstract
- This paper presents a new scheme to improve the performance of finger-vein identification systems. Firstly, a vein pattern extraction method to extract the finger-vein shape and orientation features is proposed. Secondly, to accommodate the potential local and global variations at the same time, a region-based matching scheme is investigated by employing the Scale Invariant Feature Transform (SIFT) matching method. Finally, the finger-vein shape, orientation and SIFT features are combined to further enhance the performance. The experimental results on databases of 426 and 170 fingers demonstrate the consistent superiority of the proposed approach.
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 13
- Issue :
- 11
- Database :
- Directory of Open Access Journals
- Journal :
- Sensors
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.9f2b2942a1d465e94558a2be1977ce3
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/s131115048