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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1182

Title: Palmprint texture analysis based on low-resolution images for personal authentication
Authors: Kong, Wai-kin Adams
Zhang, David D.
Subjects: Feature extraction
Image quality
Problem solving
Security of data
Issue Date: 2002
Publisher: IEEE Computer Society
Citation: 16th International Conference on Pattern Recognition : August 11-15, 2002, Québec City, Québec, Canada : proceedings, v. 3, p. 807-810.
Abstract: Biometrics identification is an emerging solution for solving security problems in our networked society. A new branch of biometric approach - palmprint technology, whereby the lines and points can be extracted from our palm for personal authentication, was proposed several years ago. In this paper, we develop a new feature extraction method based on low-resolution palmprint images. A 2-D Gabor filter is used to obtain the texture information and two palmprint images are compared in term of their hamming distance. The experimental results illustrate the effectiveness of our method.
Rights: © 2002 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.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Conference Paper
URI: http://hdl.handle.net/10397/1182
ISBN: 076951695X
ISSN: 10514651
Appears in Collections:COMP Conference Papers & Presentations

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