Opto-Electronic Engineering, Volume. 36, Issue 5, 111(2009)

Facial Expression Recognition Based on Gabor Wavelet Transform

YIN Yong*... SHI Jin-yu and LIU Dan-ping |Show fewer author(s)
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    A facial expression recognition method is proposed. The Gabor features of facial expressional images are extracted and twice feature selection is used to recognize facial expression. Since the high-dimensional Gabor features are quite redundant, the high-dimensional features are sampled and the 2-D PCA is used to select valid features. Then, seven expressions are recognized based on multi-classifier combination with fuzzy integral. The experimental results on JAFFE facial expression database show that the proposed method is valid. It has higher computational speed and better recognition rate than 2-D PCA.

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    YIN Yong, SHI Jin-yu, LIU Dan-ping. Facial Expression Recognition Based on Gabor Wavelet Transform[J]. Opto-Electronic Engineering, 2009, 36(5): 111

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    Paper Information

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    Received: Nov. 11, 2008

    Accepted: --

    Published Online: Oct. 9, 2009

    The Author Email: Yong YIN (yongyin@cqu.edu.cn)

    DOI:

    CSTR:32186.14.

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