Poincare based singularities detection algorithm in fingerprint classification

Authors:
Liu Wei
Affiliations:
School of Computer Science, Hubei University of Technology, Wuhan, Hubei, China
Venue:
MUSP'08 Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing
Year:
2008

Citing 6
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Abstract

Fingerprint classification is an important indexing method for any large scale fingerprint recognition system or database as a method for reducing the number of fingerprints that need to be searched. Singularities are the most important and reliable features in classification. This paper describes an improved rapid singularities searching algorithm which employees delta field Poincare index. The algorithm only searches the direction field which has the larger direction changes to get the singularities. Then a singularities detection post-processing method is used to increase the accuracy. The algorithm was tested on NIST-4 database and got a good performance.