A novel method for palmprint recognition based on wavelet transform is presented in this
paper. Because palmprint's principal lines, wrinkles and ridges have characteristics of …

This paper analyzes the palmprint textures with a multi-resolution method. Texture feature
vectors of palmprint are extracted by wavelet transformation. With the texture feature, isodata …

In this paper, a novel method using wavelet decomposition and 2D Principal component
analysis (2DPCA) for palmprint recognition is presented. Firstly, 2D wavelet transform is …

This paper presents a novel palmprint recognition method using Gabor wavelets and 2-
Dimensional Principal Component Analysis (2-DPCA) and PCA. Different from the Gabor …

A new palmprint classification method is proposed in this paper by using the dual-tree
complex wavelet transform. The dual-tree complex wavelet transform has such important …

In this paper, a new texture feature set based on M-band wavelet analysis is proposed for
online palmprint identification. First, the central part of a palm was decomposed by M-band …

Palmprint is one of the most reliable features in personal identification because of its stability
and uniqueness. This paper proposed a new hierarchical palmprint recognition method …

This paper presents a new method for automatic palmprint recognition based on kernel PCA
method by integrating the Gabor wavelet representation of palm images. Gabor wavelets are …

In this paper, we propose an efficient palmprint recognition scheme which has two features:
1) representation of palm images by two dimensional (2-D) wavelet subband coefficients …

In this paper, we propose a new palmprint classification method by using the contourlet
features. The contourlet transform is a new two dimensional extension of the wavelet …