Facial Emotion Recognition using Swarm optimization Technique
In modern era which involves human-machine interactions in every walks of life, identification of emotions by an automated system plays a vital role. In order to deal with the frameworks of machine and human, development of emotionrecognition systemsis very crucial. To differentiate various emotions of face, emotion recognition system based on Artificial Bee Colony (ABC) optimization is proposed in this paper. Feature vectors are extracted using HoG and SIFT feature extraction technique. These extraction techniques produce high rate of accuracy. The optimized features are trained using different classifier for the emotion recognition. Among various classifier, Neural Network classifier outperformed other classifiers yielding a classification accuracy of 86%.