计算机应用与软件2018，Vol.35Issue(1)：169-174,6.DOI:10.3969/j.issn.1000-386x.2018.01.030
基于Curvelet变换特征的人脸识别算法
FACE RECOGNITION ALGORITHM BASED ON CURVELET TRANSFORM FEATURE
摘要
Abstract
In view of the weakness that the wavelet transform cannot express the two-dimensional singular curve accurately,a face recognition algorithm based on Curvelet transformation was proposed in this paper.Curvelet transform can be very good to approximate the singular curve,for the face image can achieve the optimal sparse representation.In this paper,we used the Wrapping-based discrete Curvelet transform weighting algorithm to extract feature matrices from the face images of the training set,and then used the PCA method to reduce the dimension and combined the sparse representation classification algorithm (SRC) for face recognition.Through the simulation experiments on ORL,Yale and AR face database and the comparison with wavelet transform class recognition algorithm,LDA algorithm and SRC algorithm,the experimental results showed that the proposed algorithm had high face recognition rate and good robustness under the influence of interference factors such as face occlusion,gesture transformation,expression transformation and illumination transformation.关键词
小波变换/奇异曲线/曲波变换/稀疏表示/鲁棒性Key words
Wavelet transform/Singular curve/Curvelet transform/Sparse representation/Robustness分类
信息技术与安全科学引用本文复制引用
杨晋吉,李亚文..基于Curvelet变换特征的人脸识别算法[J].计算机应用与软件,2018,35(1):169-174,6.基金项目
国家自然科学基金项目(61572234). （61572234）
