A Hybrid Method of Feature Extraction for Facial Expression Recognition

Facial Expression Recognition is necessary for designingany human-machine interface. The main issue of FacialExpression Recognition is to decide what features are requiredto represent a Facial Expression. In this paper, we proposethe hybrid technique for facial expression recognition. In thispaper we proposed a combined method of feature extractionusing Discrete Cosine Transform, Gabor Filter, Wavelet Transformand Gaussian distribution to improve the recognitionrate. Experimental are performed on seven expressions, (anger,disgust, fear, happiness, sadness, surprise, neutral ) of JAFFEdataset. The result of Proposed work is compared with result ofindividual Feature Extraction Techniques that show that FacialExpression Recognition Rate can be improved by combining bestfeatures of DCT, Gabor Filter, Wavelet Transform and GaussianDistribution.

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