Facial Expression Recognition System based on Geometric Feature

Abstract

The facial expression recognition system has been a significant field in human-computer interaction. It is a considerably challenging field to generate an intelligent computer that is able to identify and understand human emotions for various vital purposes. This paper focuses on facial expression to identify five universal human expressions: neutral, happy, anger, sad and surprise. The proposed system uses a technique of image processing consisting of 3 major processes: 1) pre-processing of images, 2) geometric feature extraction of eyes and mouth from images, used for a calculation of Euclidean distances between each feature; and 3) face expression recognition using principal component analysis method. Especially, the movement of the mouth is investigated for expression recognition in this paper. The effectiveness of the proposed system can be confirmed through the experimental results.