The Facial Expression Recognition using the Inclined Face Geometrical Information
Dadong Zhao, Mousavinezhad, Shariar Hadji Hossein, Jeong-Young Song · 한국정보기술학회논문지 · 2012
Facial expression recognition, it is a research field that an important research areas of pattern recognition. Typically, we can see that peoples emotions through facial expression recognition. In this study, to recognize facial expressions, we use the geometric features of the face such as the shape of the mouth, eyes and eyebrows. About some peoples emotions from facial expressions, we can find the surprise, smile, angry and natural face. We use the ratio of mouth shape, eyes shape, brow angle and eyebrows shape as a features parameters. we have made recognition system. To evaluate the performance, we are 200 data preparation, experimental results show that 83% of the results were obtained. In the future, facial expression recognition algorithm that can be used for identification systems, robot and avatars.