On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation

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 i...

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Published inLecture notes in computer science pp. 210 - 225
Main Authors 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, Hung, Yi-Ping, 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
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2010
SeriesLecture Notes in Computer Science
Subjects
biometric
evaluation
face recognition
mobile
speaker recognition
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ISBN9783642177101
3642177107
ISSN0302-9743
1611-3349
1611-3349
DOI10.1007/978-3-642-17711-8_22

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Summary: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.
ISBN:9783642177101
3642177107
ISSN:0302-9743
1611-3349
1611-3349
DOI:10.1007/978-3-642-17711-8_22