A Gmm Model Based Facialrecognition System Using Haar Transformation and Eigen Value Decomposition

نویسنده

  • B. N. Jagadesh Y. Srinitvas A. V. S. N. Murty
چکیده

Recently a lot of research is projected towards facial recognition. Face is a focus of attention in social intercourse, it plays a viral role in identification his emotion and conveying the emotion. It has its impact widely surveillance applications. Numbers of facial recognition algorithms were available in the literature, new approaches are still needed to capture face appearance variations due to pose and lightning changes. Hence in this paper an attempt is made to develop robust facial recognition algorithm based on eigen value decomposition with haar transformation . In our approach we divide a face image in ‘n’ different regions by using the HAAR transformations and analyze each region with PCA, and the Eigen space approach to find the best possible global match between the query image and a database image.. The relationship between the ‘n ‘ parts is established by using GMM.

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تاریخ انتشار 2010