Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data

This paper presents a novel fully automatic bi-modal, face and speaker, recognition system which runs in real-time on a mobile phone. The implemented system runs in real-time on a Nokia N900 and demonstrates the feasibility of performing both automatic face and speaker recognition on a mobile phone....

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Hauptverfasser: McCool, C., Marcel, S., Hadid, A., Pietikainen, M., Matejka, P., Cernocky, Jan, Poh, N., Kittler, J., Larcher, A., Levy, C., Matrouf, D., Bonastre, J., Tresadern, P., Cootes, T.
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creator McCool, C.
Marcel, S.
Hadid, A.
Pietikainen, M.
Matejka, P.
Cernocky, Jan
Poh, N.
Kittler, J.
Larcher, A.
Levy, C.
Matrouf, D.
Bonastre, J.
Tresadern, P.
Cootes, T.
description This paper presents a novel fully automatic bi-modal, face and speaker, recognition system which runs in real-time on a mobile phone. The implemented system runs in real-time on a Nokia N900 and demonstrates the feasibility of performing both automatic face and speaker recognition on a mobile phone. We evaluate this recognition system on a novel publicly-available mobile phone database and provide a well defined evaluation protocol. This database was captured almost exclusively using mobile phones and aims to improve research into deploying biometric techniques to mobile devices. We show, on this mobile phone database, that face and speaker recognition can be performed in a mobile environment and using score fusion can improve the performance by more than 25% in terms of error rates.
doi_str_mv 10.1109/ICMEW.2012.116
format Conference Proceeding
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identifier ISBN: 1467320277
ispartof 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012, p.635-640
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Artificial Intelligence
Authentication
bi-modal authentication
Computer Science
Computer Vision and Pattern Recognition
Educational institutions
Face
Face recognition
mobile biometrics
Mobile handsets
speaker recognition
Speech
title Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data
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