Doubly truncated Multivariate Gaussian mixture model for Face images

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Provided by: The World
Topic: Security
Format: PDF
In this paper, the authors introduce a face recognition algorithm based on doubly truncated multivariate Gaussian mixture model with DCT. The truncation on the feature vector has a significant influence in improving the recognition rate of the system using EM algorithm with K-means or hierarchical clustering, the model parameters are estimated. The EM algorithm requires the updated equations of the model parameters, which are derived for the doubly truncated multivariate Gaussian mixture model. A face recognition system is developed under Bayesian frame using maximum likelihood.
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