A technological approach to recognize human hidden psychology

This Paper explores the technological approach to recognize human hidden psychology. In three different phases this approach works Feature Extraction, Classification and Matching. Feature Extraction phase described the Principle component analysis (PCA) and Independent Component Analysis (ICA) techniques to obtain eigen features of the facial expression image sequence. In Classification phase both the extracted features are trained parallel in Multilayer Perceptron Neural Networks (NN) includes feed-forward & Back Propagation algorithm (MLP). Finally in the Matching phase both the classified eigen images PCA+NN and ICA+NN are fused by Score Based Strategy, related emotion is recognized and MATLAB based implementation is done to simulate the results.