Wavelet-based feature extraction for palmprint identification

Guangming Lu; Kuanquan Wang; David Zhang

doi:10.1117/12.477069

31 July 2002 Wavelet-based feature extraction for palmprint identification

Guangming Lu, Kuanquan Wang, David Zhang

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477069
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

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.

Citation Download Citation

Guangming Lu, Kuanquan Wang, and David Zhang "Wavelet-based feature extraction for palmprint identification", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477069

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