Enhanced maximum curvature descriptors for finger vein verification

Author:

Syarif Munalih Ahmad,Ong Thian Song,Teoh Andrew B. J.,Tee Connie

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference30 articles.

1. Aziz WNAA, Seman K, Abdullah I, Sayuti NS (2013) Finger vein minutiae points extraction based on maximum curvature points in image profile and finger print application methods. Aust J Basic Appl Sci 7:751–756

2. Bertozzi M, Broggi A, Del Rose M, Felisa M, Rakotomamonjy A, Suard F (2007) A pedestrian detector using histograms of oriented gradients and a support vector machine. In: Proceedings of the 2007 IEEE, WA

3. Chang CC, Lin CJ (2011) LIBSVM: A library for support vector machine. ACM Trans Intell Syst Technol 2(3):1–27

4. Dalal N, Trigss B. (2005) Histograms of Oriented Gradients for Human Detection. In: International conference on computer vision and pattern recognition, Montbonnot

5. Dong S, Yang J, Chen Y, Wang C, Zhang X, Park DS (2015) Finger vein recognition based on Multi-Orientation weighted symmetric local graph structure. KSII Trans Internet Inf Syst 9(10):4126–4142

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