Bi-modal biometric authentication on mobile phones in challenging conditions

Khoury, Elie, El Shafey, Laurent, McCool, Christopher, Günthera, Manuel, & Marcel, Sebastien (2014) Bi-modal biometric authentication on mobile phones in challenging conditions. Image and Vision Computing, 32(12), pp. 1147-1160.

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Abstract

This paper examines the issue of face, speaker and bi-modal authentication in mobile environments when there is significant condition mismatch. We introduce this mismatch by enrolling client models on high quality biometric samples obtained on a laptop computer and authenticating them on lower quality biometric samples acquired with a mobile phone. To perform these experiments we develop three novel authentication protocols for the large publicly available MOBIO database. We evaluate state-of-the-art face, speaker and bi-modal authentication techniques and show that inter-session variability modelling using Gaussian mixture models provides a consistently robust system for face, speaker and bi-modal authentication. It is also shown that multi-algorithm fusion provides a consistent performance improvement for face, speaker and bi-modal authentication. Using this bi-modal multi-algorithm system we derive a state-of-the-art authentication system that obtains a half total error rate of 6.3% and 1.9% for Female and Male trials, respectively.

Impact and interest:

10 citations in Scopus
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3 citations in Web of Science®

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ID Code: 82375
Item Type: Journal Article
Refereed: Yes
Keywords: Face authentication, Speaker authentication, Bi-modal authentication, Gaussian mixture model, Session variability, Inter-session variability, Total variability, I-vector, Fusion
DOI: 10.1016/j.imavis.2013.10.001
ISSN: 0262-8856
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 Elsevier B.V.
Deposited On: 10 Mar 2015 23:43
Last Modified: 11 Mar 2015 22:15

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