基于人脸识别的考生身份核验系统设计  

Design of Examinee Identity Verification System Based on Face Recognition

作　　者：王宗鑫 金凯 白小军[1] WANG Zongxin;JIN Kai;BAI Xiaojun(School of Computer Science and Engineering,Xi’an Technological University,Xi’an Shaanxi 710021,China)

机构地区：[1]西安工业大学计算机科学与工程学院,陕西西安710021

出　　处：《信息与电脑》2021年第23期166-169,共4页Information & Computer

基　　金：西安工业大学大学生创新创业训练项目(项目编号:S202010702110)。

摘　　要：为了提升教育考试监考中考生身份认证的工作效率,设计了一种基于人脸识别的考生身份核验系统。该系统由报名App、监考App和管理客户端3部分构成,在报名时能够采集考生图像,自动检测人脸区域,提取人脸特征,并上传考生信息到云端进行管理和安排考场。监考老师能够提前下载所在考场的考生数据到监考客户端,并通过离线人脸识别的方法实现考生身份核验。测试表明,该系统能高效完成考生身份核验工作,且准确率达到99.3%。In order to improve the efficiency of identity verification for examinee in educational examination, proposed an identity verification system based on face recognition. This system was build up of three parts: the registration App, the invigilation App, and the management client. It was designed to collect basic information and capture face image of examinee during examination registration, automatically detect face area and extract feature of face, then upload data of examinee to cloud side, and arrange examination rooms by management staff. The invigilator then download data bundle of examination room that assigned for him, and made Identity Verification by the invigilation App, which was based on arcface offline face recognition API. Test shows that this system helps to make the work of identity verification efficiently, and the accuracy rate reaches 99.3%.

关 键 词：人脸检测 人脸识别 身份核验 教育考试 

分 类 号：G424.74[文化科学—课程与教学论]