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A Robust Hybrid Approach for Biometric Identification


Affiliations
1 Department of Electronic Science, MAEER's Arts, Commerce and Science College, Pune, India
2 Department of Electronic Science, Savitribai Phule une University, Pune, India
3 Post Graduate Research Centre, Department of Electronic Science, Modern College, Pune, India
 

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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Abstract Views: 169

PDF Views: 83




  • A Robust Hybrid Approach for Biometric Identification

Abstract Views: 169  |  PDF Views: 83

Authors

Madhuri K. Pote
Department of Electronic Science, MAEER's Arts, Commerce and Science College, Pune, India
Arvind Shaligram
Department of Electronic Science, Savitribai Phule une University, Pune, India
Umesh N. Hivarkar
Post Graduate Research Centre, Department of Electronic Science, Modern College, Pune, India

Abstract


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.

References