Authors:
Salma Ben Jemaa
and
Mohamed Hammami
Affiliation:
Sfax University, Tunisia
Keyword(s):
Palmprint recognition, Biometric, Contactless, Local Binary Pattern (LBP), Sequential Forward Floating Selection (SFFS).
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Feature Extraction
;
Features Extraction
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing, Sensors, Systems Modeling and Control
;
Soft Computing
Abstract:
Palmprint recognition, as a reliable personal identity method, has been received increasing attention and become an area of intense research during recent years. In this paper, we propose a generic biometric system that can be adopted with or without contact depending of the capture system to ensure public security based on identification with palmprint. This system is based on a new global approach which is to focus only on areas of the image having the most discriminating features for recognition. Experimental results have been undertaken on two large databases, namely,“CASIA-Palmprint” and “PolyU-Palmprint” show promising result and demonstrate the effectiveness of the proposed approach.