基于人脸识别的图像分类系统方案探讨  

Discussion on the scheme of image classification system based on face recognition

作　　者：金丽丽[1] Jin Lili(Liuzhou Railway Vocational Technical College,Liuzhou 545616,China)

机构地区：[1]柳州铁道职业技术学院,广西柳州545616

出　　处：《无线互联科技》2021年第5期49-50,共2页Wireless Internet Technology

基　　金：广西高校中青年教师科研基础能力提升项目,项目名称:基于人脸识别技术的图片自动分类系统,项目编号:2019KY1557。

摘　　要：随着计算机技术和信息技术的发展,人脸检测与识别技术的研究已经越来越成熟,但目前人脸识别的应用还是集中在门禁系统和防盗系统方面,在人们生活中的应用还不够广泛。文章综述国内外研究现状,基于深度学习的人脸识别方法表现最为优异,设计了一种基于深度学习人脸识别的图像分类系统方案,旨在解决人们电脑或手机中存储的大量图片分类不方便的问题。With the development of computer technology and information technology,the research on face detection and recognition technology has become more and more mature.However,the application of face recognition is still focused on access control system and security system,and it is not widely used in people’s personal life.Summarizing the current research status at home and abroad,the face recognition method based on deep learning performs best,so this paper designs an image classification system based on deep learning face recognition,which aims to solve the problem of inconvenient classification of a large number of pictures stored in people’s computers or mobile phones.

关 键 词：人脸识别 深度学习 图像分类 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]