Video to the rescue

Authors:
Girija Chetty;Michael Wagner
Affiliations:
University of Canberra, Australia;University of Canberra, Australia
Venue:
VisHCI '06 Proceedings of the HCSNet workshop on Use of vision in human-computer interaction - Volume 56
Year:
2006

Citing 2
Cited 1

Fast features for face authentication under illumination direction changes

Pattern Recognition Letters
Fusion of face and speech data for person identity verification

IEEE Transactions on Neural Networks

Vehicle systems: comfort & security enhancement of face/speech fusion with compensational biometric modalities

Proceedings of the 10th ACM workshop on Multimedia and security

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Abstract

Automatic person identity verification based on biometrics is a challenging problem, and has received much attention during recent years due to its many applications in on-line transaction processing, law enforcement, and security applications. However, most identity verification systems are primarily based on voice biometrics, and hence are more vulnerable to acoustic noise and channel distortions, in addition to train/test mismatch conditions. In this paper, we show how we can use video information to improve the performance of identity verification systems. The approach based on multimodal fusion of voice and face information from speaking face video allows robust identity verification performance. In addition, depending on the type of features and fusion technique used, it is also possible to perform liveness checks, allowing the system to detect fraudulent attacks on the system.