DocumentCode :
2895120
Title :
A Hybrid Method of Feature Extraction for Facial Expression Recognition
Author :
Gupta, Sandeep K. ; Agrwal, ShubhLakshmi ; Meena, Yogesh K. ; Nain, Neeta
Author_Institution :
Dept. of Comput. Eng., Malaviya Nat. Inst. of Technol., Jaipur, India
fYear :
2011
fDate :
Nov. 28 2011-Dec. 1 2011
Firstpage :
422
Lastpage :
425
Abstract :
Facial Expression Recognition is necessary for designing any human-machine interface. The main issue of Facial Expression Recognition is to decide what features are required to represent a Facial Expression. In this paper, we propose the hybrid technique for facial expression recognition. In this paper we proposed a combined method of feature extraction using Discrete Cosine Transform, Gabor Filter, Wavelet Transform and Gaussian distribution to improve the recognition rate. Experimental are performed on seven expressions, (anger,disgust, fear, happiness, sadness, surprise, neutral ) of JAFFE dataset. The result of Proposed work is compared with result of individual Feature Extraction Techniques that show that Facial Expression Recognition Rate can be improved by combining best features of DCT, Gabor Filter, Wavelet Transform and Gaussian Distribution.
Keywords :
Gabor filters; Gaussian distribution; discrete cosine transforms; emotion recognition; face recognition; feature extraction; wavelet transforms; DCT; Gabor filter; Gaussian distribution; JAFFE dataset; discrete cosine transform; facial expression recognition; feature extraction; human-machine interface design; hybrid method; recognition rate improvement; wavelet transform; Discrete cosine transforms; Face recognition; Feature extraction; Gaussian distribution; Vectors; Wavelet transforms; DCT; Facial Expression; Feature Extraction; Gabor Filter; Gesture; Recognition; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal-Image Technology and Internet-Based Systems (SITIS), 2011 Seventh International Conference on
Conference_Location :
Dijon
Print_ISBN :
978-1-4673-0431-3
Type :
conf
DOI :
10.1109/SITIS.2011.64
Filename :
6120682
Link To Document :
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