基于FR的远程考试身份认证系统研究

摘要

在远程教育考试系统中,如何实时有效地验证考生身份非常重要.本文提出一种基于FR( Face Recognition)的远程考试身份验证系统,首先利用肤色信息检测人脸图像,经过预处理后提取特征点,然后通过与报名库中人脸图像进行几何特征比对,从而完成考生的身份验证.实验表明该系统具有较好的识别率,能有效地识别出考生信息.%In the distance education examination system, it is important that how to verify the real identity of the candidateseffectively. This paper proposes a remote authentication system based on face recognition. First, the color information of skin isused to detect and locate human face images. After preprocessing, the corresponding feature points are extracted. Then,comparing the geometric characteristics with the face image of the registration database, the authentication of candidates iscompleted. Experiments show that the system can identify the candidate's information effectively, and achieve a good validationresults.