空天预警研究学报2024，Vol.38Issue(3)：189-195,7.DOI:10.3969/j.issn.2097-180X.2024.03.007
基于深度学习的人脸识别系统设计与实现
Design and implementation of face recognition system based on deep learning
陈帅男 1贾开吉 2侯福鸽2
作者信息
- 1. 河北科技大学,石家庄 050018
- 2. 95911部队,甘肃酒泉 735018
- 折叠
摘要
Abstract
In order to address the shortcomings of traditional face recognition methods in terms of accuracy and robustness,a novel type of deep learning-based face recognition system is designed and implemented in this study.The system consists of four main modules:face detection,preprocessing,characterization and recognition.The deep convolutional neural network used combines FaceNet model and DRNet structure to optimize feature ex-traction and spatial embedding.The recognition accuracy is improved by using ternary loss function.Experimen-tal results show that the system achieves 99.71%average recognition accuracy on the recognized LFW dataset.In addition,through quantification and pruning techniques,the system achieves low computational complexity and memory requirements while maintaining real-time high accuracy processing.关键词
深度学习/人脸识别/人脸检测/FaceNet模型/DRNet架构Key words
deep learning/face recognition/face detection/FaceNet model/DRNet architecture分类
信息技术与安全科学引用本文复制引用
陈帅男,贾开吉,侯福鸽..基于深度学习的人脸识别系统设计与实现[J].空天预警研究学报,2024,38(3):189-195,7.
