摘要
讨论了光照和噪声条件下的人脸识别问题,提出了基于Gabor滤波器对人脸图像提取Gabor特征并与EFM+MAP-2相结合的人脸识别方法.实验证明,该方法在非均匀光照和噪声条件下比其他传统的人脸识别方法具有更好的鲁棒性.
Non-uniform illumination is one of the key points that affects the result of face recognition, and noise is the common issue in the image processing problems. A face recognition under non-uniform illumination and noise was addressed and the scheme that combines Gabor feature, Enhanced FLD Model (EFM) and Maximum A Posteriori (MAP) was proposed. The experimental result shows that this method is superior to other traditional method and robust under non-uniform illumination and noise.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2003年第9期1443-1446,1451,共5页
Journal of Shanghai Jiaotong University
