The invention discloses an interactive photographing system based on human face recognition, which belongs to the technical field of human face recognition, and comprises a photographing instruction uploading module, the output end of which is electrically connected with the input end of a photographing instruction acquisition module; the output end of the shooting instruction acquisition module and the output end of the deep learning module are electrically connected with the input end of a face recognition module. According to the method, the deep learning module is arranged, the deep learning module can learn a large number of human face features and feature selective extraction rules, needed distinguishing features can be accurately captured for rapid recognition during face recognition, the recognition precision and efficiency are greatly improved, meanwhile, the convolutional neural network is established, and the recognition accuracy is improved. The convolutional neural network is composed of multiple layers of neural networks, each layer has multiple different planes, and by introducing the convolutional neural network, the identification degree of feature information can be improved, meanwhile, the complexity of face recognition can be reduced, and the face recognition effect can be further improved.