基于Curvelet及LPP的人脸识别算法

基于人脸图像的曲线奇异性及高维图像数据带来的计算复杂性．提出一种结合Curvelet变换与LPP的人脸识别方法。首先通过Curvelet变换对人脸图像降维，利用LPP将图像投影到最优子空间中，利用支持向量机进行分类识别，实验结果表明该算法的识别效果优于小波变换结合LPP方法、LPP方法。

Face Recognition Based on Curvelet and LPP

Based on curves singularity of face image and the computational complexity caused by high-dimensional image data, proposes a new face recognition algorithm based on Curvelet transform and LPP. Applies curvelet transform dimensionality reduction for face image, uses LPP to project the image to the optimal subspace, applies support vector machine （SVM） for classification. Experimental results on ORL and Yale indicate that the performance of proposed method is superior to other methods, such as Wavelet transform combined with LPP and LPP method.