Facial Emotion Recognition and Classification Using Hybridization Method

ABSTRACT—Recognition of emotions in facial expressions has become a famous technique in 21st century. In this paper the facial emotion recognition will be done using the hybridization of neural network with ICA as well as genetic algorithm. Firstly the feature extraction will be done using ICA then the feature reduction will be done using genetic algorithm in which features are reduced to small dataset. Then classification of five emotions will be done like SAD, HAPPY, SURPRISE ANGRY and NEUTRAL using neural network classifiers. The whole simulation has been taken place in MATLAB environment. The result value obtained by this approach is good and efficient and requires less effort of extracting different features individually