摘要
人脸特征是人重要的生物特征,具有不可复制性、独特性等特点,被广泛应用。笔者通过分析人脸特征、人脸识别的一般过程以及人脸识别的原理,并结合人脸识别在考勤打卡、人脸支付、密码验证等方面的应用,对它们的功能特点进行了研究和分析。人脸作为生物信息存在泄漏、被恶意利用等风险,结合实际,笔者给出了保护、合理使用人脸信息的改进措施及相关建议。
Facial features are important biological features of human beings,which has the characteristics of non-replicability,uniqueness and so on,and is widely used.In the article,facial features were analyzed,the general process of facial recognition was introduced,and the principle of face recognition was also introduced by the author.Combined with the Application of facial recognition in attendance check-on attendance,facial payment,password verification,etc.,their functional characteristics were studied and analyzed by the author.As biological information,human face has the risk of being leaked and maliciously used.Based on actual situations,improvement measures and relevant suggestions for protecting and using facial information in a reasonable manner were provided by the author in the article.
作者
丁海涛
Ding Haitao(School of Information Engineering,Chuzhou Polytechnic,Chuzhou 239000,China)
出处
《无线互联科技》
2023年第18期86-88,104,共4页
Wireless Internet Technology
基金
2023年滁州职业技术学院横向研究项目,项目名称:智能化安防系统升级与维护,项目编号:CZZY-HX-2023-12
2023年滁州职业技术学院横向研究项目,项目名称:企业信息发布及人脸识别考勤管理系统,项目编号:CZZY-HX-2023-09
2022年安徽省高校自然科学研究重大项目,项目名称:基于近红外光谱的滁菊品质无损检测模型研究,项目编号:2022AH040333
2021年滁州职业技术学院科研项目,项目名称:基于数字图像处理技术的滁菊识别与花形分级方法研究,项目编号:YJY-2021-02
2022年滁州职业技术学院专业群建设项目,项目名称:物联网应用技术专业群,项目编号:2022zya04。
关键词
人脸识别
考勤
支付
密码验证
face recognition
check-on attendance
facial payment
password verification
