Abstract:LBP operator has notable features of rotation invariance and gray-scale invariance etc. This paper uses LBP operator to get feature extraction, the face image is divided into sub-regions, then connecting these sub-regions LBP histogram to generate facial feature vector, because too many dimension of facial feature vector, using PCA to reduce dimension and compression. The final step is using Euclidean distance classifier to complete face recognition. Through the experimental conclusion shows very good face recognition effect. The face recognition algorithm used for various kinds of public, like the railway station have good application effect.