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Bi-modal person recognition on a mobile phone: Using mobile phone data

McCool, C, Marcel, S, Hadid, A, Pietikäinen, M, Matějka, P, Černocký, J, Poh, N, Kittler, J, Larcher, A, Lévy, C , Matrouf, D, Bonastre, J-F, Tresadern, P and Cootes, T (2012) Bi-modal person recognition on a mobile phone: Using mobile phone data

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Abstract

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. © 2012 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
McCool, CUNSPECIFIEDUNSPECIFIED
Marcel, SUNSPECIFIEDUNSPECIFIED
Hadid, AUNSPECIFIEDUNSPECIFIED
Pietikäinen, MUNSPECIFIEDUNSPECIFIED
Matějka, PUNSPECIFIEDUNSPECIFIED
Černocký, JUNSPECIFIEDUNSPECIFIED
Poh, Nn.poh@surrey.ac.ukUNSPECIFIED
Kittler, JUNSPECIFIEDUNSPECIFIED
Larcher, AUNSPECIFIEDUNSPECIFIED
Lévy, CUNSPECIFIEDUNSPECIFIED
Matrouf, DUNSPECIFIEDUNSPECIFIED
Bonastre, J-FUNSPECIFIEDUNSPECIFIED
Tresadern, PUNSPECIFIEDUNSPECIFIED
Cootes, TUNSPECIFIEDUNSPECIFIED
Date : 2012
Identification Number : 10.1109/ICMEW.2012.116
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:35
Last Modified : 17 May 2017 15:04
URI: http://epubs.surrey.ac.uk/id/eprint/835916

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