Emotion Detecting System

Facial expression recognition has many potential applications that had attracted the attention of researchers in the last decade. In this paper, a proposed system for analyzing the facial emotions is presented. Where features are extracted by applying geometric of the distances that are determined by using the locations of the basic facial components through detecting mouth. Then evaluate them by using the standard dataset CK which have been used as test material for testing the results. The percentage of recognition was around 96 % when the basic emotion classes were tested, which is considered to be high when compared with the results of other newly published works.