Title :
A genetic algorithm for fingerprint matching based on an integrated measure
Author :
Sheng, Weiguo ; Howells, Gareth ; Harmer, Karl ; Fairhurst, Michael ; Deravi, Farzin
Author_Institution :
Dept. of Electron., Univ. of Kent, Canterbury
Abstract :
In this paper, we develop a fingerprint matching method which operates by first introducing an integrated measure, which combines two different matching criteria based on heterogeneous features. We then devise a genetically guided algorithm to optimise the integrated measure for simultaneous fingerprint alignment and verification. The proposed method is evaluated through experiments conducted on two public domain collections of fingerprint images and compared with related work, with very encouraging results.
Keywords :
fingerprint identification; genetic algorithms; image matching; fingerprint alignment; fingerprint images; fingerprint matching criteria; fingerprint verification; genetic algorithm; genetically guided algorithm; heterogeneous features; integrated measure; Evolutionary computation; Fingerprint recognition; Genetic algorithms;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4630907
