Multispectral palmprint recognition methodology based on multiscale representation

Amel Bouchemha; Noureddine Doghmane; Mohamed Cherif Nait-Hamoud; Amine Nait-Ali

doi:10.1117/1.JEI.24.4.043005

29 July 2015 Multispectral palmprint recognition methodology based on multiscale representation

Amel Bouchemha, Noureddine Doghmane, Mohamed Cherif Nait-Hamoud, Amine Nait-Ali

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 4, 043005 (July 2015). https://doi.org/10.1117/1.JEI.24.4.043005

Abstract

The increasing demand to develop a palmprint biometric system with a low-error rate has prompted scientists to use multispectral imaging to overcome the limits of the techniques that act in visible light. In order to improve the accuracy of multispectral palmprint recognition, we explore two level fusions: pixel and the feature level fusion approaches. The former is based on a maximum selection rule, which combines discriminating information from different spectral bands of discrete wavelet transform of multispectral images. The latter operates the fusion of features extracted from subimages. We propose to use both approaches for statistical and energy distribution analysis of the finite ridgelet transform coefficients, for the sake of their simplicity and low-computational complexity. Once the feature vectors are obtained, we perform a robust classification to identify/verify individuals with both approaches. The effectiveness of the proposed methods is evaluated on several classifiers for binary and multiclass cases. The experimental results conducted on Chinese Academy of Sciences Institute of Automation and Hong Kong Polytechnic University databases show that the proposed approaches ensure, respectively, an accuracy rate of 100% and 99.79%. A comparative study has revealed that our approach outperforms or at least equals the performances of the state-of-the-art multispectral palmprint recognition methods.

Citation Download Citation

Amel Bouchemha, Noureddine Doghmane, Mohamed Cherif Nait-Hamoud, and Amine Nait-Ali "Multispectral palmprint recognition methodology based on multiscale representation," Journal of Electronic Imaging 24(4), 043005 (29 July 2015). https://doi.org/10.1117/1.JEI.24.4.043005

Published: 29 July 2015

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available