Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1542
Title: Fingerprint recognition with improved wavelet domain features
Authors: Fung, Yik-hing
Chan, Yuk-hee
Subjects: Computational complexity
Feature extraction
Fingerprint identification
Wavelet transforms
Issue Date: 2004
Source: ISIMP 2004 : proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing : October 20-22, 2004, Hong Kong, p. 33-36.
Abstract: A fingerprint recognition algorithm based on the wavelet domain features of a fingerprint image is proposed. Critical wavelet coefficients are selected to form a feature vector of the fingerprint. As compared with a recently reported algorithm using a similar approach, the proposed algorithm is superior in terms of both recognition rate and computational complexity.
Rights: © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1542
ISBN: 0-7803-8687-6
Appears in Collections:EIE Conference Papers & Presentations

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