Robustness of multimodal biometric fusion methods against spoof attacks

In this paper, we address the security of multimodal biometric systems when one of the modes is successfully spoofed. We propose two novel fusion schemes that can increase the security of multimodal biometric systems. The first is an extension of the likelihood ratio based fusion scheme and the othe...

Full description

Saved in:
Bibliographic Details
Published in:Journal of visual languages and computing 2009-06, Vol.20 (3), p.169-179
Main Authors: Rodrigues, Ricardo N., Ling, Lee Luan, Govindaraju, Venu
Format: Article
Language:English
Subjects:
Face recognition
Fingerprint
Multimodal biometrics
Secure biometrics
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we address the security of multimodal biometric systems when one of the modes is successfully spoofed. We propose two novel fusion schemes that can increase the security of multimodal biometric systems. The first is an extension of the likelihood ratio based fusion scheme and the other uses fuzzy logic. Besides the matching score and sample quality score, our proposed fusion schemes also take into account the intrinsic security of each biometric system being fused. Experimental results have shown that the proposed methods are more robust against spoof attacks when compared with traditional fusion methods.
ISSN:1045-926X
1095-8533
DOI:10.1016/j.jvlc.2009.01.010