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

This paper presents a palmprint recognition system with palmprint images collected by a
high-resolution color scanner. The scanned RGB image of the palmprint is pre-processed …

Palmprint recognition aims at finding out the palmprint template from the database, which is
from the same palm as a given palmprint input. Feature extraction plays an important role in …

In this paper, a novel method for palmprint recognition, called Fisherpalms, is proposed. In
this method, each pixel of a palmprint image is considered as a coordinate in a high …

In this paper, a novel palmprint recognition approach is presented. A modified Discrete
Cosine Transform based feature extraction method is used to obtain palmprint features …

Computer-aided personal recognition is becoming increasingly important in our information
society. Biometric identification is an emerging technology that can solve security problems …

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 …

This paper presents a novel approach of palmprint texture analysis based on the derivative
of Gaussian filter. In this approach, the palmprint image is respectively preprocessed along …

According to the fact that the basic features of a palmprint, including principal lines, wrinkles
and ridges, have different resolutions, in this paper we analyze palmprints using a multi …