In reducing the dimensions of feature space so as to achieve better performance, minimal
features that yet represent the original image maximally need to be extracted. Principal …

In this paper, a multi-resolution feature extraction algorithm for palm-print recognition is
proposed based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently …

The palmprint recognition methods can be categorized as the feature-based methods and
the appearance-based methods. The conventional appearance-based representation …

In this paper, a new Palmprint recognition technique is introduced based on the gray-level
co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …

In this paper, a new Palmprint recognition technique is introduced based on the gray-level
co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …

During the last decade, palmprint recognition has received an increasing attention due to
the abundant features that can be extracted from the captured palmprint image. However, a …

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 feature extraction method of palmprint recognition based on Two-Dimensional Principal
Component Analysis (2DPCA) is proposed in this work. A series of experiments were …

Palmprint recognition has attracted various researchers in recent years due to its richness in
amount of features. In feature extraction, the single feature has become bottleneck in …

This paper investigates palmprint recognition using Principal Component Analysis (PCA)
and the Adaptive Principal component EXtraction (APEX) which is one of the PCA …