A Comparative Study of Emotion Recognition from Facial Expression
|Atul Pawar, Kajal Kamble, Shalaka Dhaktode, Dipali Dongare, Pooja Dushing
Dept. of Computer Engineering PCCOE, Nigdi, Pune, India
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In Image processing, it becomes very interesting to recognize the human gesture for general life. Facial expressions analysis plays a significant role for human computer interaction. In this paper both genetic and data mining algorithm is given. In data mining algorithm the focus is given on facial expression regions such as eyebrow, eye and mouth. Then facial characteristics points are calculated which are given as a input to decision tree which gives output as emotion. In genetic algorithm, preprocessing is applied on input image. Features are extracted and optimized values are calculated. Thus emotions are classified using neural networks.