关键词: 人脸识别技术, 复杂光照条件, 反射感知模型

Abstract: This paper proposes a light compensation algorithm based on reflective perception model. By simulating human visual imaging system, the illumination [L] is estimated from imaging [S], the incident degree [R] is removed and decomposed, so as to eliminate the different intensity of light from different directions to bring the impact of uneven lighting, and achieve the purpose of light compensation. By extracting the human face two-dimensional Gabor feature, using uniform down-sampling, combined with Principal Component Analysis（PCA） and Fisher Linear Discriminant（FLD） analysis, the two dimensions are reduced and combined with Support Vector Machine（SVM） to realize the classification and recognition of face. The experimental results show that the algorithm proposed in this paper can effectively improve the recognition accuracy under complex lighting conditions.

Key words: face recognition technology, complex lighting conditions, reflective perception model