Face Recognition System Based on CNN

With the development of computer vision and artificial intelligence, face recognition is widely used in daily life. As one of the most concerned methods of biometric recognition, face recognition has become one of the research hotspots in the field of computer vision and artificial intelligence. However, face recognition is easily affected by internal and external differences, and it is often difficult for traditional face recognition methods to achieve ideal results. In order to further improve the recognition accuracy of current face recognition algorithms, this paper proposes a face recognition algorithm based on improved convolutional neural network. Experiments show that the improved algorithm can be effectively applied to the data set.