Publication Details
Bi-Modal Person Recognition on a Mobile Phone: using mobile phone data
Marcel Sebastien
Matějka Pavel, Ing., Ph.D. (DCGM)
Černocký Jan, prof. Dr. Ing. (DCGM)
Kittler Josef, prof.
Larcher Anthony
Lévy Christophe
Matrouf Driss
Bonastre Jean-Francois
and others
bi-modal authentication; mobile biometrics; speaker recognition; face recognition
This paper is on Bi-Modal Person Recognition on a Mobile Phone: using mobile phone data. Work was done within the MOBIO project.
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.
@inproceedings{BUT97046,
author="Christopher {McCool} and Sebastien {Marcel} and Pavel {Matějka} and Jan {Černocký} and Josef {Kittler} and Anthony {Larcher} and Christophe {Lévy} and Driss {Matrouf} and Jean-Francois {Bonastre}",
title="Bi-Modal Person Recognition on a Mobile Phone: using mobile phone data",
booktitle="2012 IEEE International Conference on Multimedia and Expo Workshops",
year="2012",
pages="635--640",
publisher="IEEE Computer Society",
address="Melbourne, Victoria",
doi="10.1109/ICMEW.2012.116",
isbn="978-1-4673-2027-6",
url="https://www.fit.vut.cz/research/publication/10155/"
}