Facial Expression Recognition Using Texture Features
نویسندگان
چکیده
Shalu Gupta, Indu Bala ECE Department, Lovely Professional University, Jalandhar, Punjab(India) [email protected], [email protected] Abstract This paper provides a new approach to recognize facial expressions. In this paper, facial expression recognition is based on appearance based features or we can say that low level features. We introduced the new approach Improved Principle Component Analysis (IPCA) in order to categories the expression into seven different classes. IPCA help to differentiate the feature set on the basis of spreading element in matrix and scale parameters. The computational complexity is not more than PCA, FLD, and ICA. Our analysis based on JAFFE database. The experimental results show that the average recognition rates of different expressions, which is80.3 %. KeywordsFacial expression recognition; IPCA, FLD, ICA.
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