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Proceedings Paper

Texture-based approach to palmprint retrieval for personal identification
Author(s): Wenxin Li; David Zhang; Z. Xu; J. You
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Paper Abstract

This paper presents a new approach to palmprint retrieval for personal identification. Three key issues in image retrieval are considered - feature selection, similarity measures and dynamic search for the best matching of the sample in the image database. We propose a texture-based method for palmprint feature representation. The concept of texture energy is introduced to define a palm print's global and local features, which are characterized with high convergence of inner-palm similarities and good dispersion of inter-palm discrimination. The search is carried out in a layered fashion: first global features are used to guide the fast selection of a small set of similar candidates from the database from the database and then local features are used to decide the final output within the candidate set. The experimental results demonstrate the effectiveness and accuracy of the proposed method.

Paper Details

Date Published: 1 January 2001
PDF: 10 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410952
Show Author Affiliations
Wenxin Li, Hong Kong Polytechnic Univ. and Peking Univ. (Hong Kong)
David Zhang, Hong Kong Polytechnic Univ. (Hong Kong)
Z. Xu, Peking Univ. (China)
J. You, Hong Kong Polytechnic Univ. and Griffith Univ. (Hong Kong)

Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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