Accéder directement au contenu Accéder directement à la navigation
Communication dans un congrès

Application of BSIF, Log-Gabor and mRMR Transforms for Iris and Palmprint based Bi-modal Identification System

Bilal Attallah 1 Amina Serir Youssef Chahir 1 Abdelwahhab Boudjelal 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : Verification of individual identity through the process of biometric identification involves comparison between an encoded value and a stored value of the biometric feature in question. The effectiveness of a multimodal user authentication system is greater, but so is its complexity. The system error rate is reduced by the fact that multiple biometric features are combined, thus solving the weakness of the single biometric. Performance of individual authentication through palm-print-and iris-based bi-modal biometric system is proposed in the present study. To this end, Log-Gabor filter and BSIF (Binarised Statistical Image Feature) coefficients are employed to obtain the iris and palm-print traits, and subsequently selection of the features vector is conducted with mRMR (Minimum Redundancy Maximum Relevance) transforms in higher coefficients. To match the iris or palm-print feature vector, the Hamming Distance is applied. According to the experiment outcomes, the proposed system not only has a significantly high recognition rate but it also affords greater security compared to the single biometric system.
Liste complète des métadonnées

Littérature citée [25 références]  Voir  Masquer  Télécharger

https://hal-normandie-univ.archives-ouvertes.fr/hal-01621054
Contributeur : Youssef Chahir <>
Soumis le : mardi 18 septembre 2018 - 10:45:59
Dernière modification le : mercredi 13 novembre 2019 - 15:40:16

Fichier

PID4776187YC.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Bilal Attallah, Amina Serir, Youssef Chahir, Abdelwahhab Boudjelal. Application of BSIF, Log-Gabor and mRMR Transforms for Iris and Palmprint based Bi-modal Identification System. IEEE/International Conference on Advanced Technologies for Signal and Image Processing (ATSIP'2017), 2017, Fez, Morocco. ⟨10.1109/ATSIP.2017.8075600⟩. ⟨hal-01621054⟩

Partager

Métriques

Consultations de la notice

311

Téléchargements de fichiers

130