Bi-Modal Authentication in Mobile Environments Using Session Variability Modelling
Type of publication: | Conference paper |
Citation: | Motlicek_ICPR_2012 |
Publication status: | Accepted |
Booktitle: | Proceedings of the 21st International Conference on Pattern Recognition |
Year: | 2012 |
Month: | November |
Crossref: | Motlicek_Idiap-RR-18-2012: |
Abstract: | We present a state-of-the-art bi-modal authentication system for mobile environments, using session variability modelling. We examine inter-session variability modelling (ISV) and joint factor analysis (JFA) for both face and speaker authentication and evaluate our system on the largest bi-modal mobile authentication database available, the MOBIO database, with over 61 hours of audio-visual data captured by 150 people in uncontrolled environments on a mobile phone. Our system achieves 2.6% and 9.7% half total error rate for male and female trials respectively – relative improvements of 78% and 27% compared to previous results. |
Keywords: | face verification, Speaker identification |
Projects |
Idiap BBfor2 TA2 TABULA RASA |
Authors | |
Added by: | [UNK] |
Total mark: | 0 |
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