基于Yale-B和CMU-PIE 人脸库上的实验结果显示本文算法对复杂光照具有较强鲁棒性，具备提取复杂光照条件下人脸图像有效特征的能力。小波变换 特征提取 matlab仿真-Experimental results based on Yale-B and CMU-PIE face show that the proposed algorithm has a strong light on the complexity of robustness, with the extraction of

Gabor小波变换与PCA的人脸识别代码，基于负熵最大的独立分量分析，用于特征降维，特征融合，相关分析等。- Gabor wavelet transform and PCA face recognition code, Based on negative entropy largest independent component analysis, For feature reduction, feature fusion, correlation analysis.