2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery Using Genetic Algorithms for Fingerprint Core Point Detection Tianjin, China August 14-August 16 ISBN: 978-0-7695-3735-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FSKD.2009.786
Core point is an essential feature of fingerprint, which is very important in fingerprint matching and fingerprint classification. This paper proposes a novel fingerprint core point extraction method based on genetic algorithms. First the core point and its orientation is defined. Then the orientation field information is computed and the core point candidate region is determined. After the corresponding fitness function is devised, genetic algorithms are used to locate the position of core point and compute its orientation in a fast way. Experimental results show that the proposed method can extract core point and its orientation efficiently.
Index Terms:
fingerprint, core point detection, genetic algorithms
Citation:
Keming Mao, Guoren Wang, Yan Jin, Changyong Yu, "Using Genetic Algorithms for Fingerprint Core Point Detection," fskd, vol. 4, pp.20-24, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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