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Multimodal Person Verification from Video Sequences
Authors: H. K. Ekenel, S. Y. Bilgin, İ. Eden, M. Kirişçi, H. Erdoğan, A. Erçil
Published in: Proceedings of SWIM 2004
Publication year: 2004
Abstract: In this paper, a multimodal person verification system
based on fusing information derived from face and
speech signals is proposed. Principle component
analysis and independent component analysis
techniques are used for face verification and melfrequency-
cepstral coefficients are used for speaker
verification. The matching scores from individual
modalities are combined using the sum rule. The results
indicate that fusing indivual modalities improve the
overall performance of the verification system.
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