Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …

Palmprint identification refers to searching in a database for the palmprint template, which is
from the same palm as a given palmprint input. The identification process involves …

In the paper, we improve the Local Binary Pattern Histogram (LBPH) approach and combine
it with Dual-Tree Complex Wavelet Transform (DT-CWT) to propose a Dual-Tree Complex …

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

This paper presents a novel Daubechies-based kernel Principal Component Analysis (PCA)
method by integrating the Daubechies wavelet representation of palm images and the …

A new method for personal recognition using palmprint based wavelet features is presented.
The proposed method uses shift-invariant features from the wavelet decomposition of every …

Because of their high recognition rates, coding-based approaches that use multispectral
palmprint images have become one of the most popular palmprint recognition methods. This …

The proposed work aims to improve the performance of palmprint recognition system by
reducing the size of templates. Discrete Wavelet Transform assists in scaling down the size …

Palmprint is one of the most useful physiological biometrics that can be used as a powerful
means in personal recognition systems. The major features of the palmprints are palm lines …

In the biometrics research area, palmprint recognition system is gaining the most popularity.
Significant performances have been achieved in the state-of-the-art palmprint recognition …