@inproceedings{a1f2be29aade44a7be3e75f838af596f,
title = "Full video processing for mobile audio-visual identity verification",
abstract = "This paper describes a bi-modal biometric verification system based on voice and face modalities, which takes advantage of the full video processing instead of using still-images. The bi-modal system is evaluated on the MOBIO corpus and results show a relative improvement of performance by nearly 10\% when the whole video is used. The fusion between face and speaker verification systems, using linear logistic regression weights, gives a relative improvement of performance that varies between 30\% and 60\% comparing to the best uni-modal system. Proof-of-concept iPad application is developed based on the proposed bi-modal system.",
keywords = "Biometrics, Face, Full video processing, Score fusion, Speech",
author = "Alexander Usoltsev and Khemiri Houssemeddine and Dijana Petrovska-Delacr{\'e}taz",
note = "Publisher Copyright: {\textcopyright} Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 5th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2016 ; Conference date: 24-02-2016 Through 26-02-2016",
year = "2016",
month = jan,
day = "1",
doi = "10.5220/0005667305520557",
language = "English",
series = "ICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods",
publisher = "SciTePress",
pages = "552--557",
editor = "\{De Marsico\}, Maria and \{di Baja\}, \{Gabriella Sanniti\} and Ana Fred",
booktitle = "ICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods",
}