logo Idiap Research Institute        
 [BibTeX] [Marc21]
Bi-Modal Biometric Authentication on Mobile Phones in Challenging Conditions
Type of publication: Idiap-RR
Citation: Khoury_Idiap-RR-30-2013
Number: Idiap-RR-30-2013
Year: 2013
Month: 10
Institution: Idiap
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.
Projects Idiap
Authors Khoury, Elie
El Shafey, Laurent
McCool, Chris
G√ľnther, Manuel
Marcel, Sébastien
Crossref by Khoury_IMAVIS_2014
Added by: [ADM]
Total mark: 0
  • Khoury_Idiap-RR-30-2013.pdf (MD5: 5e4b46a9cfc071ddbdfabf85fd7eec3f)