Opto-Electronic Engineering, Volume. 36, Issue 5, 111(2009)
Facial Expression Recognition Based on Gabor Wavelet Transform
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.
Get Citation
Copy Citation Text
YIN Yong, SHI Jin-yu, LIU Dan-ping. Facial Expression Recognition Based on Gabor Wavelet Transform[J]. Opto-Electronic Engineering, 2009, 36(5): 111
Category:
Received: Nov. 11, 2008
Accepted: --
Published Online: Oct. 9, 2009
The Author Email: Yong YIN (yongyin@cqu.edu.cn)
CSTR:32186.14.