Most biometric systems work by comparing features extracted from a query biometric trait
with those extracted from a stored biometric trait. Therefore, to a great extent, the accuracy of …

Most biometric systems work by comparing features extracted from a query biometric trait
with those extracted from a stored biometric trait. Therefore, to a great extent, the accuracy of …

Palmprint recognition system has been one promising biometric system used in Presence
System. There are some methods to recognize the individual palmprint as well as to extract …

In this paper, unique features of the segmented image samples are extracted by using two
major feature extraction techniques: Local Binary Pattern (LBP) and Histogram of Oriented …

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 …

The main purpose of this paper is to create a palmprint recognition system (PPRS) that uses
the curvelet transform and co-occurrence matrix to recognize a hand's palmprint. The …

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) …

This article proposes robust features fusion methodology for supervised palmprint
recognition. The process of features fusion has been formulated according to the …

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 …