Advanced machine learning discriminant analysis models for face retrieval system

Advanced machine learning discriminant analysis models for face retrieval system has been implemented in this paper. The image can be portioned into different subband system to extract the features. To reduce the dimensionality to extract a few features. So, it takes more computational time to extract the features. The proposed method can be implemented in one of the most popular methods is dimensionality reduction. Discriminate analysis models are widely applied on linear and non-linear expressions to extract the feature basis on scatter matrix. Different preserving projection models are used for extract the features from local and non-local matrices. In this paper, we proposed the advanced machine learning discriminate analysis models based on discriminant analysis and preserving projection based on the ORL, YALE database. This paper gives improved results regarding of face recognition parameters as compared to existing models.