On the results of the first mobile biometry (MOBIO) face and speaker verification evaluation
Journal
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Journal Volume
6388 LNCS
Pages
210-225
Date Issued
2010
Author(s)
Marcel, Sébastien
McCool, Chris
Matějka, Pavel
Ahonen, Timo
Černocký, Jan
Chakraborty, Shayok
Balasubramanian, Vineeth
Panchanathan, Sethuraman
Chan, Chi Ho
Kittler, Josef
Poh, Norman
Fauve, Benoît
Glembek, Ondřej
Plchot, Oldřich
Jančík, Zdeněk
Larcher, Anthony
Lévy, Christophe
Matrouf, Driss
Bonastre, Jean-François
Lee, Ping-Han
Hung, Jui-Yu
Wu, Si-Wei
Machlica, Lukáš
Mason, John
Mau, Sandra
Sanderson, Conrad
Monzo, David
Albiol, Antonio
Nguyen, Hieu V.
Bai, Li
Wang, Yan
Niskanen, Matti
Turtinen, Markus
Nolazco-Flores, Juan Arturo
Garcia-Perera, Leibny Paola
Aceves-Lopez, Roberto
Villegas, Mauricio
Paredes, Roberto
Abstract
This paper evaluates the performance of face and speaker verification techniques in the context of a mobile environment. The mobile environment was chosen as it provides a realistic and challenging test-bed for biometric person verification techniques to operate. For instance the audio environment is quite noisy and there is limited control over the illumination conditions and the pose of the subject for the video. To conduct this evaluation, a part of a database captured during the "Mobile Biometry" (MOBIO) European Project was used. In total there were nine participants to the evaluation who submitted a face verification system and five participants who submitted speaker verification systems. The results have shown that the best performing face and speaker verification systems obtained the same level of performance, respectively 10.9% and 10.6% of HTER. © 2010 Springer-Verlag.
Subjects
biometric; evaluation; face recognition; mobile; speaker recognition
Other Subjects
European project; evaluation; Face verification systems; Illumination conditions; mobile; Mobile environments; Person verification; Speaker recognition; Speaker verification; Speaker verification system; Evaluation; Face verification systems; Illumination conditions; Mobile; Mobile environments; Speaker recognition; Speaker verification; Speaker verification system; Biometrics; Face recognition; Signal processing; Biometrics; Face recognition; Pattern recognition; Signal processing; Speech recognition; Speech recognition
Type
conference paper