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.
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.
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|Item Type:||Journal Article|
|Keywords:||Face authentication, Speaker authentication, Bi-modal authentication, Gaussian mixture model, Session variability, Inter-session variability, Total variability, I-vector, Fusion|
|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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