Palm Vein Verification System based on Nonsubsampled Contourlet Transform
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 10
Abstract
This document presents a new approach in verification system to verify the identity of person by his intrinsic characteristics “Palm vein” which is unique, universal and easy to captured. The first step in this system is to extract the region of interest (ROI) which represent the most informative region of palm, then coding step based on nonsubsampled contourlet transform (NSCT) is presented to produce a binary vector for each ROI, next a matching step of different representative vectors is given and finally a decision is made for both identification and verification mode. This approach is tested on CASIA multispectral database; the experimentations have proved the effectiveness of this coding system in verification modes to gives 0.19% of Equal Error Rate (EER).
Authors and Affiliations
Amira Oueslati, Kamel Hamrouni, Nadia Feddaoui, Safya Belghith
Keywords
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- EP ID EP665094
- DOI 10.14569/IJACSA.2019.0101040
- Views 87
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