The invention discloses a partially covered face identification method based on data enhancement. By means of the artificial intelligence depth convolution neural network, the face alignment, facial detection, face feature extraction, and face matching are carried out for many times; through the principle of data enhancement, the pre-judgment of the covering type of the object covering a standard face, and the pre-judgment of the identity of the covered face, the two pre-judgment results are integrated to carry out the data enhancement, a covered face database is reconstructed by taking the standard face as the basis, and at the end, the original covered face and the reconstructed covered face are subjected to matching. The method solves the technical problems that the existing covered face identification method is easy to loss characteristic information due to the covering, is difficult to carry out the face identification, and low in identification accuracy, thereby achieving the technical effects of improving the face identification accuracy and efficiency.