Face Recognition Algorithm Based On Convolutional Neural Network. (May 2020)

• Record Type: Journal Article
• Authors: Xu, Shiyuan; Xu, Shicheng; Wang, Zhaojun; Pu, Chengyan; Meng, Qingchuan
• Is Part Of: Journal of physics. Volume 1550:Number 2(2020)
• Publication Date: 2020-05
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1550/2/022023
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In response to the needs of modern enterprises for intelligent security of face authentication, a face recognition algorithm based on deep convolutional neural network is introduced in this paper. In order to improve the accuracy of face recognition, the design of 11 convolutional layers and 4 pooling layers. The network uses the standard face data set CASIA-WebFace for training, and the face recognition accuracy on the LTW database can reach more than 97.8%. Based on this deep learning network, a face recognition management system was designed. The system realized 1: 1 face authentication and 1: N face recognition. After applying the convolutional neural network algorithm, the face search time is significantly reduced, indicating that the algorithm has higher efficiency and practicability.