CONF McCool_IEEEICMEWORKSHOPONHOTTOPICSINMOBILEMULTIMEDIA_2012/IDIAP Bi-Modal Person Recognition on a Mobile Phone: using mobile phone data McCool, Chris Marcel, Sébastien Hadid, Abdenour Pietikainen, Matti Matejka, Pavel Cernocky, Jan Poh, Norman Kittler, J. Larcher, Anthony Levy, Christophe Matrouf, Driss Bonastre, Jean-François Tresadern, Phil Cootes, Timothy EXTERNAL http://publications.idiap.ch/attachments/papers/2012/McCool_IEEEICMEWORKSHOPONHOTTOPICSINMOBILEMULTIMEDIA_2012.pdf PUBLIC http://publications.idiap.ch/index.php/publications/showcite/McCool_Idiap-RR-13-2012 Related documents IEEE ICME Workshop on Hot Topics in Mobile Multimedia 2012 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. REPORT McCool_Idiap-RR-13-2012/IDIAP Bi-Modal Person Recognition on a Mobile Phone: using mobile phone data McCool, Chris Marcel, Sébastien Hadid, Abdenour Pietikainen, Matti Matejka, Pavel Cernocky, Jan Poh, Norman Kittler, J. Larcher, Anthony Levy, Christophe Matrouf, Driss Bonastre, Jean-François Tresadern, Phil Cootes, Timothy bi-modal authentication Face Recognition mobile biometrics speaker recognition EXTERNAL http://publications.idiap.ch/attachments/reports/2012/McCool_Idiap-RR-13-2012.pdf PUBLIC Idiap-RR-13-2012 2012 Idiap April 2012 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.