Compared with the Palm line structure features, extraction and description of palm print
texture features are easier. But, with the increase in the number of palmprint samples, these …

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 …

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 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 novel approach for palmprint recognition based on the valley features.
This approach uses the Bothat operation to extract the valleys from a very low-resolution …

In this paper two techniques for palmprint recognition are suggested and compared.
Palmprint include principal lines, wrinkles and ridges which contain very important features …

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 …

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 …

In palmprint recognition, researchers can extract ridges, singular points and minutia points
as features from high resolution images while in low resolution images they generally extract …