摘要
传统的课堂点名效率低下,浪费很多时间,有时还会出现同学帮忙代签的情况。而通过基于人脸识别的签到系统,会大大提高上课点名的效率。文章研究的系统通过面部识别进行签到,同时对一些个人原因无法签到的同学提供手动签到。系统运用OpenCV库作为人脸识别的基本部分,其中使用了基于LBPH特征的快速人脸识别算法,并利用活体检测技术来检测是否为图像代替真人签到,达到了良好的效果。
The traditional classroom roll call is inefficient and wastes a lot of time.Sometimes,students help to sign on behalf of others.The efficiency of roll call in class will be greatly improved through the sign in system based on face recognition.The system studied in this paper uses facial recognition to sign in,and provides manual sign in for some students who cannot sign in for personal reasons.The system uses OpenCV library as the basic part of face recognition,in which a fast face recognition algorithm based on LBPH features is used,and the live detection technology is used to detect whether an image replaces a real person to sign in,achieving good results.
作者
徐常惠
高艳平
王奥
马文龙
朱晨鑫
Xu Changhui;Gao Yanping;Wang Ao;Ma Wenlong;Zhu Chenxin(Henan University of Science and Technology,Luoyang 471000,China)
出处
《无线互联科技》
2022年第16期112-114,共3页
Wireless Internet Technology
基金
2021年度河南科技大学研究训练计划一般计划,项目名称:基于人脸识别的学生签到系统的设计与实现,项目编号:2021199。
