• AJIT PRABHAKAR GOSAVI
• GURUPRASAD MAHADEV GAWAS
• VIVEK MANGESH GAWADE
• HARSHAD RAVINDRA BHOGALE
• AMEY PANDURANG KHADAPKAR

In this paper a new algorithm based on a set of images to face emotion recognition has been proposed. Our goal is to categorized the facial expressions given image in to seven basic emotional states Neutral, Happy, Sad, Anger, Fear, Disgust and surprise. The proposed facial expressions recognition system consist of Face Localization, Facial feature extraction, Classifier training and Facial Expression Classification. We propose to use Principle Component Analysis(PCA) for feature extraction and Support Vector Machine(SVM) method for classification stage. A system is capable for processing images rapidly and achieving high detection and recognition rates.

Facial Expression, Feature Extraction, Image Processing, Suport Vector Machine(SVM), Principle Component Analysis(PCA)

"Facial Expression Detection By Using Support Vector Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.302-305, April-2019, Available :http://www.jetir.org/papers/JETIR1904B44.pdf

"Facial Expression Detection By Using Support Vector Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp302-305, April-2019, Available at : http://www.jetir.org/papers/JETIR1904B44.pdf