基于数字图像处理的课堂考勤系统研究  

Study on Class Attendance System Based with Digital Image Processing

作　　者：徐光明[1] 翟锋霖 XU Guang-ming;ZHAI Feng-lin(Guangdong Peizheng College,Guangzhou Guangdong 510830)

机构地区：[1]广东培正学院

出　　处：《数字技术与应用》2019年第12期141-142,共2页Digital Technology & Application

基　　金：广东培正学院科研项目(17pzxmyb09)

摘　　要：高校课堂考勤一直是学生管理的难题。本文提出了基于校园无线网络的B/S模式,手机拍照上传考勤照片,请假资料,并选择请假理由等,利用数字图像处理技术进行图像分析,人脸检测识别,自动进行考勤的系统架构,通过局域限制访问,一定程度保证个人生物信息安全,代考勤,网络通信不畅等问题,改善了高校自动考勤的难题。College classroom attendance management has always been a difficult problem.Based on campus wireless network,this paper proposed attendance system with a B/S model,students take and upload attendance photos and with mobile phone,absence permission,and meantime select the leave options and so on.The system analyse images with digital image processing technology,detect and recognize the face,and finally record the attendance information automatically. By restricting access,the security of personal biological information can be guaranteed to some extent, and solve the problems of attendance checking and network communication.

关 键 词：考勤 数字图像处理 B/S 人脸识别 PYTHON 深度学习 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]