International Journal of Advance Engineering and Research Development (IJAERD) Volume 1,Issue 6,June 2014, e-ISSN: 2348 - 4470 , print-ISSN:2348-6406 @IJAERD-2014, All rights Reserved 1 Facial Expression Recognition Using Machine Learning Techniques Jatin B. Patel 1 , Gopi T. Bhatt 2 , Jayandrath R Mangrolia 3 1 PG Student, GCET Engg. College, jpatelhmt@gmail.com 2 Assistant Professor, A.D. Patel Engg. College, gopi3401@yahoo.com 3 Assistant Professor, A.D. Patel Engg. College, jay.mangrolia@gmail.com Abstract— Facial Expression Recognition has got much attention in now a days. More and more research is done in this area. Facial Expression Recognition has very vast applications in recent enhancements like Human Computer Interaction (HCI), anti-terrorist activity, robotics, behavioral study, driver safety, health care system. Facial Expression Recognition (FER) system can be divided into two steps. First the facial features are extracted from the preprocessed images or raw image then the second step is to classify that expressions. In proposed work we have used PCA on Gabor images. Those extracted features are given as an input to two different classifiers, Neural Network and Support Vector Machine for recognition. The comparison of results achieved using both classifier is discussed. Index Terms —Facial Expression Recognition, Gabor Filter, JAFFE, PCA, NN, SVM I. INTRODUCTION The community of computer vision has attracted the attention of facial emotion recognition over the last decade A vast amount of work has been done and is in progress to make life easy for the disabled (e.g. blind, dumb) and aged people by the help of improving all aspects of interaction between computers and human beings. In the area of HCI, there is practical usage based emphasis for automating recognition of a particular facial expression out of a pre-defined list. Facial expressions have been extensively studied in psychology [1] [2]. A Mehrabian [3] shows that 55% of human communication done through expressions of face. So, recognition of Facial Expression is very crucial in human computer interaction (HCI). Fig. 1 Basic Six Facial Expressions [4] The basic six types of expressions are happiness, sadness, fear, disgust, surprise and anger. Facial Expression Recognition is basically two step process which is shown in below figure.