人脸识别技术在远程身份验证中的应用

传统的身份验证主要有帐户/密码或智能卡等方式，存在着易被破解盗用和遗忘丢失
等风险。该文提出了一种在远程登录过程中利用人脸识别技术进行身份验证的解决方案。该方案在客户端进行人脸检测和初步特征提取，由服务器进行特征匹配和身份验证。其中人脸特征提取采用了奇异值分解和主分量分析法，身份验证则采用了以类内平均距离为判据的算法。实验证明了该方法的有效性。
关键字：人脸识别；特征提取；特征匹配；远程登陆；身份验证；
Abstract: The traditional authentication takes mainly use of account/password or smart card. But this method has some disadvantages such as that it can be stolen and decrypted. So this paper presents a solution which using face recognition technology for identity verification in remote login. In this subject, it detects the face and extracts the features at client and matches the features and verifies the identity at server. Here, we use the singular value decomposition and principal component analysis for facial feature extraction, using the average distance category as discrimination on the basis of authentication. The experiment shows that the method has a good performance.
Key words: face recognition; feature extraction; feature matching; remote landing; authentication