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. (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)
| 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. (Contact us about this Publication) |
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) |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.B56 Biometrics |
| Divisions: | Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering |
| Depositing User: | J. Harries |
| Date Deposited: | 14 Apr 2009 12:39 UTC |
| Last Modified: | 01 Aug 2019 10:31 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/13305 (The current URI for this page, for reference purposes) |
| Deravi, Farzin: |  https://orcid.org/0000-0003-0885-437X |
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