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Comparative Study of Facial Expression Recognition Techniques

This paper explores and compares techniques for automatically recognizing facial actions in sequences of images.The comparative study of Facial Expression Recognition techniques namely Principal Component analysis (PCA), PCA with SVD (Singular Value Decomposition) is done .The objective of this research is to show that PCA with SVD is superior to former technique in terms of recognition rate .To test and evaluate their performance, experiments are performed using JAFEE and real database using both techniques. The universally accepted five principal emotions to be recognized are: Angry, Happy, Sad, Disgust and Surprise along with neutral. The recognition rate is obtained on all the facial expressions.