摘要
为解决大规模考试照片采集流程复杂、缺乏确认基准和人为环节多等问题,本研究探索构建基于云服务的考生身份认证系统及业务流程。通过设计考生照片采集检测处理平台、人脸识别身份认证系统两个子系统,优化了照片采集检测处理流程、人脸识别及数据下发验证流程。在国家考试项目中的应用实践发现,该系统在考生照片的远程采集、可信度认证、高效服务等方面具有良好效果,可以有效解决大规模考试中的身份认证高质量管理和统一维护问题。通过通用App软件方式,可以为考生的身份验证提供成本低、可靠性高、可大规模推广的解决方案。
Ensuring high reliability and efficiency of examinee identity authentication technology faces significant challenges,including the complex process of photo collection,lack of confirmation benchmarks,and excessive human subjective factors in examinations.Additionally,large-scale examination entry identity verification applications encounter hurdles such as complex management procedures,low digitization level,and heavy system data maintenance tasks.To address these issues,this study explores the theory and business processes involved in building an examinee identity authentication system based on cloud services.By designing two subsystems-a platform for collecting,verifying,and processing examinees'photos and a system for facial recognition identity authentication-we can optimize both the flow of photo collection,verification,and processing as well as that of facial recognition and data distribution.Application in national examination projects has effectively demonstrated the system's effectiveness in remote collection of examinee photos,authentication and service delivery.Moreover,it successfully resolves issues related to high-quality management and unified maintenance of examinee identity authentication in large-scale national examinations.Utilizing the general App software approach can provide a cost-effective,highly reliable solution that is also scalable for examinee identity verification.
作者
赵康
吕冰彩
朱坤昂
王希常
ZHAO Kang;LYU Bingcai;ZHU Kun'ang;WANG Xichang(Shandong Provincial Academy of Educational Recruitment and Examination,Jinan 250011,China)
出处
《中国考试》
北大核心
2024年第5期46-56,共11页
journal of China Examinations
关键词
大规模考试
国家考试
身份认证
云服务
人脸识别
考试安全
large-scale examinations
national examinations
identity authentication
cloud services
facial recognition
examination security