基于卷积神经网络的人脸识别系统在教学管理中的应用  

Application of Face Recognition System based on CNN in Teaching Management

作　　者：闫月影 郭海丽[1] YAN Yueying;GUO Haili

机构地区：[1]北京城市学院

出　　处：《中国教育技术装备》2018年第22期13-15,共3页China Educational Technology & Equipment

摘　　要：针对教学管理工作中身份识别的需求,探讨人脸识别系统在教学管理工作中的应用。本课题针对非受控人脸识别问题中各类干扰因素的影响,设计出一种特殊的卷积神经网络(CNN)进行人脸识别工作。该CNN模型具有多个隐藏层,可以同时提取人脸的局部特征和全局特征,从而极大地提高非受控状态下人脸识别的准确率。Aiming at the need of personal identifi cation in teaching management,this pap er discusses the application of face recognition system in teaching management.As for the various kinds of interference factors in the uncontrolled face recognition,a special convolutional neural network(CNN)for face recognition is designed in this paper.This CNN model has a number of hidden layers,which can extract the local features and global features of the face at the same time,thus greatly improving the accuracy of face recognition in uncontrolled state.

关 键 词：人脸识别系统 教学管理 卷积神经网络 深度学习 

分 类 号：G642[文化科学—高等教育学]