Facial expression identification system with Euclidean distance of facial edges

In this paper we present facial expression recognition system. Identification and classification is performed on the seven basic expressions: happy, surprise, fear, disgust, sad, anger and a neutral state. This system consists of three main parts. The first step is the detection of the face and facial features to extract the face centered region. Next step consists of a normalization of this interest region and edge extraction. At this step we have a face edge image that we use to calculate the Euclidean distance of all pixels that constitute edges. The third step is the classification of different emotional state by the SVM method.