An efficient facial expression recognition method using mean And standard deviation

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.Cataloged from PDF version of thesis report.Includes bibliographical references (page 26-27).Facial Expression gives vital information about emotion of human being. It is really a speedily growing and an ever green research field in the sector of computer vision, artificial intelligence and automation. If we talk about a fully automated system, it might be used to have an interaction between a human being and a computer. Here a user without using his hands can give command to system with the help of facial expression. We are proposing a facial expression recognition model analyzes an image of a face and detects alignments to six different emotions which are disgust, annoy, surprise, crying, happiness and neutral. In this research we choosed JAFFE dataset and we used mean and standard deviation method to classify the images into categories. A new algorithm based on a set of images to face recognition is proposed here.B. Computer Science and Engineerin