IJMTES – MULTI MODAL BIO METRIC AUTHENTICATION USING FACE AND VOICE RECOGNITION IN REAL TIME APPLICATIONS

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : MULTI MODAL BIO METRIC AUTHENTICATION USING FACE AND VOICE RECOGNITION IN REAL TIME APPLICATIONS

Author’s Name : Shiva Tharani V | Divya D | Dharini Runnamed

Volume 04 Issue 03 2017

ISSN no:  2348-3121

Page no: 95-99

Abstract – The majority of deployed bio metric systems today use information from a single bio metric technology for verification or identification. Large-scale bio metric systems have to address additional demands such as larger population coverage and demographic diversity, varied deployment environment, and more demanding performance requirements. Today’s single modality bio metric systems are finding it difficult to meet these demands, and a solution is to integrate additional sources of information to strengthen the decision process. The two bio metrics are fusing using score level combination. We propose an efficient Ant Colony optimization (ACO) technique that weights the belief assignments of voice and face classifiers. The belief assignment is computed from the score of each modality using Denoeux and Appriou models. The fusion of the weighted belief assignments is then performed by using Dempster–Shafer (DS) theory and proportional conflict redistribution (PCR5) combination rules.

KeywordsBelief Assignments, Ant Colony Optimization (ACO), Score Level Fusion, DS Theory, PCR5 Rules

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