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Proceedings Paper

Wavelet-based feature extraction for palmprint identification
Author(s): Guangming Lu; Kuanquan Wang; David Zhang
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Paper Abstract

The wavelet theory has become hot in the last few years for its important relative characters, such as, subband coding, multiresolution analysis and filter banks. In this paper, we propose a novel method of feature extraction for palmprint identification based on wavelet transform, which is very efficient to handle the textural characteristics of palmprint images at low resolution. The matching results show that the proposed feature extraction method is efficient in terms of matching accuracy and computational speed.

Paper Details

Date Published: 31 July 2002
PDF: 5 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477069
Show Author Affiliations
Guangming Lu, Harbin Institute of Technology (China)
Kuanquan Wang, Harbin Institute of Technology (China)
David Zhang, Hong Kong Polytechnic Univ. (Hong Kong)


Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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