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
Source: 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.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1182
ISBN: 0-7695-1695-X
0-7695-1696-3
ISSN: 1051-4651
Appears in Collections:COMP Conference Papers & Presentations

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