To solve the urgent technical requirement of face recognition in security industry, this research and implementation of face recognition based on deep learning for identification photos are carried out. The key technologies and algorithms of face recognition are implemented and compared. At the same time, to further improve accuracy, the method of feature remapping using Siamese network is proposed. Finally, the experimental results show that by using deep learning algorithms and face-library constructed by identification photos, efficient and accurate face recognition is achieved.