A Survey on Human Facial Expression Recognition
Abstract
This research paper contains Description of facial expressions. Because of its broad applications, Face Expression Recognition has become a key region of intrigue. Recognition of facial expression has gained significant interest in many fields because of its important applications in the contemporary world: Marketing, psychology, oversight and entertainment are just a few examples. In this research paper I suggested the fusion of features that were derived from various techniques. SVM is used to classify the facial images into basic expressions (surprise, anxiety, sorrow, happiness, anger and disgust). This article gives a detailed analysis of the research work performed on the classification of face expression and different methods applied for the identification of face expressions.