Design and implementation of multi-target face recognition system
Multi-target face recognition system is a face recognition system that can recognize multiple target individu-als at the same time,but it faces challenges in balancing recognition speed and accuracy,as well as adapting to varia-tions in pose and lighting.Therefore,this paper introduces a face recognition system integrating YOLOv3,Support Vector Machines(SVM)and Dlib.The system process includes face image acquisition,detection algorithm design,and recognition implementation.Dlib's efficient detector is used to complete face location and key point extraction.After preprocessing,YOLOv3 is responsible for key region identification,and SVM is used for feature training and classification.The experimental results demoenstrate that the system maintains high recognition accuracy and performs excellently in multi-target scenarios.
NETL
NSTL
万方数据
