摘要
人脸识别是模式识别中很重要的一个研究领域,在信息安全、金融贸易、视频监控等各行各业都有广泛应用。系统基于RK3288芯片架构、中兴CEGL linux3.10操作系统国产化平台设计实现人脸识别。对人脸检测算法AdaBoost、局部二值模式(Local Binary Pattern)以及LBP与SVM分类器相结合的人脸识别技术进行深入研究,最终基于QT可视化开发平台调用OpenCV计算机视觉库相关函数模块对系统进行了实现。
Face recognition,as a very important research field in pattern recognition,is widely applied in various industries such as information security,financial trade,and video surveillance.The system is designed on the basis of RK3288 chip architecture,ZTE CEGL linux3.10 operating system and other domestic platforms so as to achieve face recognition.In-depth exploration is done on face detection algorithms AdaBoost,Local Binary Pattern and the combination of LBP and SVM face recognition technology.Finally,based on the QT visual development platform,the OpenCV computer vision library related function modules are called to implement the system.
作者
龚哲兮
施彦媛
GONG Zhe-xi;SHI Yan-yuan(No.30 Institute of CETC,Chengdu Sichuan 610041,China)
出处
《通信技术》
2020年第3期781-785,共5页
Communications Technology
