• Navpreet Kaur
• -

Abstract: The advancement in computer vision and pattern recognition in last two decades has opened the path to automatic face expression recognition system. In this paper, computer vision and pattern recognition both work together to detect the expressions of a human. For this task we have four phases: Detection of face, identification of human face, identification of face features, and identification of facial expression. In Detection of face, input image is taken and face region is detected. After this in identification of human face, human face is identified and located. Then next is identification of face features where the position of different features is identified. With the help of features position, the expressions of different features are analyzed.[3] Now in the last phase facial expression is identified through classifier. Classifier analyzes the position of any feature with its standard facial expressions and finally it provides the facial expression of the human on the basis of the image provided as input.

Keywords: computer vision, pattern recognition, automatic face expression recognition system.

"Analysis of different feature identification methods for detection of facial expressions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.305-309, November 2018, Available :http://www.jetir.org/papers/JETIRDS06048.pdf

"Analysis of different feature identification methods for detection of facial expressions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp305-309, November 2018, Available at : http://www.jetir.org/papers/JETIRDS06048.pdf