Sheng, Weiguo, Harmer, Karl, Howells, Gareth, Fairhurst, Michael, Deravi, Farzin (2008) A Genetic Algorithm for Fingerprint Matching based on an Integrated Measure. In: IEEE Congress on Evolutionary Computation (IEEE CEC 2008), part of 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), June 2008, Hong Kong. (doi:10.1109/cec.2008.4630907) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13305)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: https://doi.org/10.1109/cec.2008.4630907 |
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
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.1109/cec.2008.4630907 |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.B56 Biometric identification |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | J. Harries |
Date Deposited: | 14 Apr 2009 12:39 UTC |
Last Modified: | 05 Nov 2024 09:46 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/13305 (The current URI for this page, for reference purposes) |
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