An Approach to Detect the Region of Interest of Expressive Face Images

On human face, non-rigid facial movements due to facial expressions cause noticeable alterations in their usual shapes, which sometimes create occlusions in facial feature areas making face recognition as a difficult problem. The paper presents an automatic Region of Interest (ROI) detection technique of six universal expressive face images. The proposed technique is a facial geometric based hybrid approach. The localization accuracy was evaluated by rectangular error measure and was tested on Japanese Female Facial Expression (JAFFE) database. The average localization accuracy of all detected facial regions is 94%.