关键词: 人脸识别, 深度学习, 栈式自动编码器, 局部二值模式

Abstract: LBP algorithm is robust to illumination and can extract?the texture?features of face images. A face recognition algorithm based on LBP and stacked auto encoder is proposed in this paper. At first, uniform LBP features are extracted from different blocks of a face image, which are connected together to serve as the description for the whole face. Then, the LBP feature is input to stacked autoencoders. At last, the trained SAE is used to complete the recognition and classification of face images. The experimental results on Extended Yale B face databases demonstrate that the proposed method is robust to illumination. And it has a better recognition performance compared to traditional algorithms and standard stacked autoencoders.

Key words: face recognition, deep learning, stacked autoencoders, local binary pattern