Gopa Bhaumik

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Visual Surveillance in dynamic scenes is one of the most active research areas. In this paper an algorithm has been proposed to detect human behaviours for visual surveillance. This method gives an efficient face recognition technique in dynamic scenario using Principal Component Analysis and Minimum distance classifier.
Face recognition has become more sophisticated in biometric based authentication systems, which uses various facial features. The authentication mechanism is still required with more features to be used and has to be done in a short time. Existing face recognition algorithms are more scalable in time and memory used, also produces high frequency of false(More)
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