Paper Title
Facial Expression Recognition Using Local Facial Features

Facial expression recognition has received a lot of attention in recent years due to its importance in many multimedia and human-computer interaction applications. One of the critical issues for a successful facial expression recognition system is to develop a discriminative feature descriptor. In this paper, we present a texture descriptor, Local Direction and Transition Pattern, to effectively capture the facial features. The recognition performance of the proposed method is evaluated on the Cohn-Kanade facial expression dataset with a support vector machine classifier. Experimental results show that the proposed method yields good recognition accuracy than other existing methods. Keywords- Facial Expression Recognition, Local Direction and Transition Pattern, Support Vector Machine