Introduction - If you have any usage issues, please Google them yourself
In this paper, wavelet image decomposition and information entropy feature extraction combined propose a new feature extraction algorithm. The algorithm first palmprint grayscale image two-dimensional wavelet decomposition, reuse multiresolution information entropy were calculated at different scales of the energy spectrum entropy as feature vectors, enabling feature extraction. The algorithm not only avoids the preprocessing such as image enhancement and texture refinement process, and the use of multi-resolution information entropy adaptive calculation method to regulate the decomposition level, so that the length of the feature vector obtained is far smaller than the conventional algorithm.