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Sébastien Marcel, Christopher McCool, Pavel Matejka, Timo Ahonen, Jan Cernocky, Shayok Chakraborty, Vineeth Balasubramanian, Sethuraman Panchanathan, Chi H. Chan, Josef Kittler, Norman Poh, Benoit Fauve, Ondrej Glembek, Oldrich Plchot, Zdenek Jancik, Anthony Larcher, Christophe Levy, Driss Matrouf, Jean-François Bonastre, Ping-Han Lee, Jui-Yu Hung, Si-Wei Wu, Yi-Ping Hung, Lukas Machlica, John Mason, Sandra Mau, Conrad Sanderson, David Monzo, Antonio Albiol, Hieu V. Nguyen, Li Bai, Yan Wang, Matti Niskanen, Markus Turtinen, Juan Arturo Nolazco-Flores, Leibny Paola García-Perea, Roberto Aceves-Lopez, Mauricio Villegas, Roberto Paredes. On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. Recognizing Patterns in Signals, Speech, Images, and Videos. ICPR 2010 Contents, 2010. pp. 210-225. Springer Berlin / Heidelberg.

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.