计算机工程与应用Issue(19)：210-215,6.DOI:10.3778/j.issn.1002-8331.1411-0229
基于Gabor和二值叠加CS-LBP特征的人脸表情识别
Facial expression recognition based on Gabor and addition of two-valued center-symmetric ;local binary pattern features
摘要
Abstract
In facial expression recognition, the feature extraction methods such as Gabor combined with Local Binary Pat-tern(LBP)and histograms for dimension reduction are more localization methods, but the LBP is of poor robustness and low precision for recognition, and the computational complexity and the dimension of characteristics are still high for his-tograms. Compared with LBP, Center-Symmetric Local Binary Pattern(CS-LBP)is more robust, but its description for facial expression texture is insufficiently detailed. This paper proposes a new feature extraction method based on Gabor com-bined with improved CS-LBP. The improved CS-LBP is addition of two-valued center-symmetric local binary pattern. The method uses Gabor to extract feature, and the final recognition feature is the superposition of two different features calculated by two methods. The dimensions of the final recognition feature are effectively reduced by Discrete Cosine Transform(DCT). The proposed method is tested by using JAFFE facial expression database. The result shows that the method can effectively improve the recognition accuracy.关键词
表情识别/Gabor小波/二值叠加中心对称局部二值模式/离散余弦变换/降维Key words
facial expression recognition/Gabor wavelet/addition of two-valued center-symmetric local binary pattern/discrete cosine transform/feature dimension reduction分类
信息技术与安全科学引用本文复制引用
王燕,张殷绮..基于Gabor和二值叠加CS-LBP特征的人脸表情识别[J].计算机工程与应用,2015,(19):210-215,6.基金项目
国家自然科学基金（No.61263019）；甘肃省自然科学基金（No.1112RJZA029）。 （）
