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Identification of a person in real time has become a crucial issue now a day. There are multiple ways of biometric identification. There are limitations using individual biometric system. Potential approach to overcome some of these limitations of individual solutions could be Vision and speech based hybrid biometric identification.

Vision processing typically includes face recognition, and speech processing includes voice characterization along with gender identification. The work presented here provides the system design for such hybrid approach. Functional components involved, scope of the solution, and problems of individual biometric identification approaches are explained.


Keywords

Biometric Identification, Hybrid Approach, Vision Processing, Speech Processing.
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