Comparative Study of Facial Feature Extraction, Expressions and Emotion Recognition

A. R. Shinde; P. P. Agnihotri

doi:10.17697/ibmrd/2014/v3i2/51961

Authors

A. R. Shinde School of Comutational Sciences, Solapur University, Solapur (M.S)
P. P. Agnihotri School of Technology, S.R.T.M.U.N. Sub- campus, Latur, (M.S)

DOI:

https://doi.org/10.17697/ibmrd/2014/v3i2/51961

Keywords:

Feature Extraction, Facial Expression, Face Recognition, Image Processing, PCA

Abstract

Facial recognition is one of the most relevant applications of image analysis. It is a true challenge to build an automated system which equals human ability to recognize faces. Facial Recognition is an unsolved problem and a demanded technology. The challenges for Facial Recognition extract of facial features, expression and emotions. In this paper we have study the facial extraction approaches, facial expressions and emotion recognition. By studding different approaches and attempt can be made to develop hybrid approach for facial feature extraction and recognition accuracy can be further improved using Artificial Neural Network approach and hybrid approach such ANFIS. By studying various methods we may have conclude that PCA with SVD is superior to PCA in terms of recognition rate for basic emotions.