Abstract / truncated to 115 words (read the full abstract)

Interest in biometric based identification and verification systems has increased considerably over the last decade. As an example, the shortcomings of security systems based on passwords can be addressed through the supplemental use of biometric systems based on speech signals, face images or fingerprints. Biometric recognition can also be applied to other areas, such as passport control (immigration checkpoints), forensic work (to determine whether a biometric sample belongs to a suspect) and law enforcement applications (e.g. surveillance). While biometric systems based on face images and/or speech signals can be useful, their performance can degrade in the presence of challenging conditions. In face based systems this can be in the form of a change in the ... toggle 12 keywords

face recognition face verification biometrics speech processing information fusion multi-modal local features patch analysis pose variations maximum likelihood linear regression illumination variations robustness


Conrad Sanderson
Griffith University, Queensland, Australia
Publication Year
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June 13, 2012

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