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Biometrics has been a topic of great interest since the advent of the information age and will soon lead to a safer and simpler lifestyle where passcodes and keys are inherent to the user. This paper describes a system capable of automatically extracting visual features from a human face for use in dynamic visual biometrics. Automatic speech and speaker recognition has recently moved towards incorporating visual information to improve upon audio-only recognition systems. With few exceptions, however, investigations into audio-visual and visual-only automatic speech and speaker recognition have utilized ideal visual databases in their Audio-Visual (AV-ASR) and Visual-only Automatic Speech Recognition (V-ASR) experiments.
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