Facial Expression Recognition Based on Gabor Texture Features and Centre Binary Pattern

Li Sai Li; Zi Lu Ying; Bin Bin Huang

doi:10.4028/www.scientific.net/AMM.742.257

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 742Facial Expression Recognition Based on Gabor...

Facial Expression Recognition Based on Gabor Texture Features and Centre Binary Pattern

Abstract:

This paper was proposed a new algorithm for Facial Expression Recognition (FER) which was based on fusion of gabor texture features and Centre Binary Pattern (CBP). Firstly, gabor texture feature were extracted from every expression image. Five scales and eight orientations of gabor wavelet filters were used to extract gabor texture features. Then the CBP features were extracted from gabor feature images and adaboost algorithm was used to select final features from CBP feature images. Finally, we obtain expression recognition results on the final expression features by Sparse Representation-based Classification (SRC) method. The experiment results on Japanese Female Facial Expression (JAFFE) database demonstrated that the new algorithm had a much higher recognition rate than the traditional algorithms.

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Periodical:

Applied Mechanics and Materials (Volume 742)

Pages:

257-260

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.742.257

Citation:

Cite this paper

Online since:

March 2015

Authors:

Li Sai Li*, Zi Lu Ying, Bin Bin Huang

Keywords:

Adaboost, CBP, Facial Expression Recognition, Fusion, Gabor Texture Feature, SRC

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* - Corresponding Author

References

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