• PRIYANSHI
• NEELU JAIN

Facial expression carries information about the emotional and physical state of a human being. Facial expression recognition has been an active research area in the past ten years, with growing application areas such avatar animation, neuromarketing and sociable robots. As computers have started becoming a part of our living spaces and workspaces, and began to interact more and more with humans, the systems are supposed to be more accurate in understanding the emotional states and moods of humans. Having an intelligent facial expression recognition system makes the creation of good visual interfaces easier and helpful for human and computer interactions. In this paper the geometric feature extraction methods with the combination of different classifiers has been discussed . The Facial Expression Recognition system also captures the dynamic variation of facial expression along with the feature extraction method. The system learns and extract the features from the training image databases using deep Neural Network. The survey on facial expression recognition system has been done for various technique based on the average recognition rate for different image databases.

facial expression recognition ,Feature Extraction, Classification ,Deep Networks

"A survey on facial expression recognition system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.190-193, May-2019, Available :http://www.jetir.org/papers/JETIR1905222.pdf

"A survey on facial expression recognition system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp190-193, May-2019, Available at : http://www.jetir.org/papers/JETIR1905222.pdf