Wavelet-based feature extraction for palmprint identification
Guangming Lu, Kuanquan Wang, David Zhang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
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.