Occluded Face Recognition Network Based On DCGAN and ResNet
Changxiu Dai, Xianfeng Zeng · Procedia Computer Science · 2024
With the development of artificial intelligence technology, it has become convenient for people to work, study and travel and face recognition is widely used in many fields, but also brings a lot of hidden dangers to security. Aiming at the problem of reduced accuracy of face detection algorithm caused by local occlusion factors, The paper proposes a partial occlusion face recognition method based on DCGAN face repair combined with ResNet. The experimental results show that the algorithm proposed in the paper has better face recognition effect when there is partial occlusion in the face.