人脸识别技术在考试身份验证中的应用

Application of Face Recognition Technology in the Examination of Authentication

考试身份验证实际是一种模式识别中的两分类问题,由于人脸的唯一性、不可伪造性,提出一种人脸识别技术的考试考生身份验证系统。首先收集考生人脸的视频,并对视频进行分帧处理;然后提取考生人脸识别的特征,并根据人脸特征设计考试身份验证的分类器,最后采用具体实例对有效性进行测试与分析。结果表明,本文方法可以对考试考生身份进行验证,计算量少,可以满足考试身份验证的实时性需求。

Identity verification of examination is a two classification problem in pattern recognition. Because face is uniqueness and unforgeability,this paper proposes an examination authentication method based on face recognition technology. Firstly,candidates face videos are collected and it is used to framed. Then candidates face recognition features are extracted according to the facial feature design classifier of examination authentication. Lastly simulation experiments is used to test and analyze its effectiveness. The results show that the method in this paper can effectively verify the identity authentication,although the computation amount is very small,it can meet the real-time requirements of the examination authentication.