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research article

Bi-Modal Biometric Authentication on Mobile Phones in Challenging Conditions

Khoury, Elie
•
El Shafey, Laurent  
•
McCool, Chris
Show more
2014
Image and Vision Computing

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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Type
research article
DOI
10.1016/j.imavis.2013.10.001
Author(s)
Khoury, Elie
El Shafey, Laurent  
McCool, Chris
Günther, Manuel
Marcel, Sébastien  
Date Issued

2014

Published in
Image and Vision Computing
Volume

32

Issue

12

Start page

1147

End page

1160

URL

URL

http://publications.idiap.ch/index.php/publications/showcite/Khoury_Idiap-RR-30-2013
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIDIAP  
Available on Infoscience
December 19, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/98256
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