In this study, a new approach to the palmprint recognition phase is presented. 2D Gabor
filters are used for feature extraction of palmprints. After Gabor filtering, standard deviations …

From security point of view, Palmprint recognition has become a powerful means in person
identification due to rich information in palmprint. Palmprint recognition typically consists of …

The presented paper proposes an algorithm for palmprint recognition using seven different
machine learning algorithms. First of all, we have proposed a region of interest (ROI) …

Research on biometric technology get much attention from researchers who interest in the
recognition system. One of the biometric objects that will continue to be developed is the …

In this paper, identification of a person is carried out using Discrete Cosine Transform (DCT)
and Discrete Wavelet Transform (DWT) coefficients as palmprint features. Dimensionality …

The palmprint is a new recognition method in physiological biometrics. In palmprint region of
interest (ROI), the segmentation and feature extraction are two important issues. The main …

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 …

Palmprint verification is an important tool for authentication of an individual and it can be of
significant value in security and e-commerce applications. Palmprint identification has …

A biometric system is essentially a pattern recognition system which makes a personal
identification by determining the authenticity of a specific physiological or behavioral …

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 …