@article{(Open Science Index):https://publications.waset.org/pdf/9998501,
	  title     = {Curvelet Features with Mouth and Face Edge Ratios for Facial Expression Identification},
	  author    = {S. Kherchaoui and  A. Houacine},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents a facial expression recognition system. It performs identification and classification of the seven basic expressions; happy, surprise, fear, disgust, sadness, anger, and neutral states. It consists of three main parts. The first one is the detection of a face and the corresponding facial features to extract the most expressive portion of the face, followed by a normalization of the region of interest. Then calculus of curvelet coefficients is performed with dimensionality reduction through principal component analysis. The resulting coefficients are combined with two ratios; mouth ratio and face edge ratio to constitute the whole feature vector. The third step is the classification of the emotional state using the SVM method in the feature space.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {6},
	  year      = {2014},
	  pages     = {954 - 956},
	  ee        = {https://publications.waset.org/pdf/9998501},
	  url   	= {https://publications.waset.org/vol/90},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 90, 2014},
	}