Recognizing the expressions of the human face using artificial intelligence algorithms

Abstract

Computer vision & image processing is one of the largest areas of computer science that focuses on processing of the digital images. The purpose of this research is to shed light on the mechanism and stages of recognizing the expressions of the human face by identifying the identity of the face that is entered into a particular expression. There are a number of expressions in the face of human, including the six typical expressions of anger, disgust, fear, happiness, sadness, surprise, in addition to normal face expression. In this paper, recognition system was applied to some human facial expressions two expression, using the Histogram of Oriented Gradients algorithm (HOG) to extract image features, and the Support Vector Machine (SVM), which processes the classification and expression of the desired expression. The accuracy of this system reached 90%. This model is capable to identify different faces from different nationalities and ages.