On the results of the first mobile biometry (MOBIO) face and speaker verification evaluation

  • Authors:

  • Sébastien Marcel;Chris McCool;Pavel Matějka;Timo Ahonen;Jan Černocký;Shayok Chakraborty;Vineeth Balasubramanian;Sethuraman Panchanathan;Chi Ho Chan;Josef Kittler;Norman Poh;Benoît Fauve;Ondřej Glembek;Oldřich Plchot;Zdeněk Jančík;Anthony Larcher;Christophe Lévy;Driss Matrouf;Jean-François Bonastre;Ping-Han Lee;Jui-Yu Hung;Si-Wei Wu;Yi-Ping Hung;Lukáš 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 Garcia-Perera;Roberto Aceves-Lopez;Mauricio Villegas;Roberto Paredes

  • Affiliations:

  • Idiap Research Institute, CH;Idiap Research Institute, CH;Brno University of Technology, CZ;University of Oulu, FI;Brno University of Technology, CZ;Center for Cognitive Ubiquitous Computing, Arizona State University;Center for Cognitive Ubiquitous Computing, Arizona State University;Center for Cognitive Ubiquitous Computing, Arizona State University;Centre for Vision, Speech and Signal Processing, University of Surrey, UK;Centre for Vision, Speech and Signal Processing, University of Surrey, UK;Centre for Vision, Speech and Signal Processing, University of Surrey, UK;Validsoft Ltd., UK;Brno University of Technology, CZ;Brno University of Technology, CZ;Brno University of Technology, CZ;University of Avignon, LIA, FR;University of Avignon, LIA, FR;University of Avignon, LIA, FR;University of Avignon, LIA, FR;National Taiwan University, TW;National Taiwan University, TW;National Taiwan University, TW;National Taiwan University, TW;University of West Bohemia, CZ;Swansea University, UK;NICTA, AU;NICTA, AU;iTEAM, Universidad Politecnica de Valencia, ES;iTEAM, Universidad Politecnica de Valencia, ES;University of Nottingham, UK;University of Nottingham, UK;University of Nottingham, UK;Visidon Ltd, FI;Visidon Ltd, FI;Tecnologico de Monterrey, MX;Tecnologico de Monterrey, MX;Tecnologico de Monterrey, MX;Instituto Tecnológico de Informática, Universidad Politécnica de Valencia, ES;Instituto Tecnológico de Informática, Universidad Politécnica de Valencia, ES

  • Venue:
  • ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
  • Year:
  • 2010

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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.