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An orientation-based ridge descriptor for fingerprint image matching

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5 Author(s)
Hui Chen ; Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China ; Jianping Yin ; Xin Shu ; Chunfeng Hu
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Orientation field is a very useful global feature in Auto Fingerprint Identification Systems. It describes the basic shape, structure and direction of a fingerprint. Orientation-based fingerprint descriptor is independent of other minutiae; hence, it is robust to either spurious minutiae producing or genuine minutiae missing in minutiae detection algorithms. This paper proposes an orientation-based ridge descriptor, and uses it for fingerprint image matching. Restriction of slight nonlinear distortion is also considered for such a descriptor. We conduct experiments on FVC2000 DB1 to evaluate the performance of the proposed descriptor. A comparison is made between the proposed descriptor and a most widely used minutia descriptor. Experimental results show that our descriptor is more distinctive.

Published in:

Computer Design and Applications (ICCDA), 2010 International Conference on  (Volume:1 )

Date of Conference:

25-27 June 2010