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 …

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 …

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 …

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 the paper, we combine the Local Binary Pattern Histogram (LBPH) approach with Dual-
Tree Complex Wavelet Transform (DT-CWT) to propose a new method, DT-CWT based …

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 …

In on-line palmprint recognition tasks, texture based feature extraction methods are widely
adopted for palmprint representation, owing to their high performance. Gabor filter bank is …

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 …

Palmprint identification is the means of recognizing an individual from the database using
his/her palmprint features. Palmprint is easy to capture, requires cheaper equipment and is …

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 …