基于触控频率的用户身份识别方案  

Identity Recognition Based on Touch-frequency Features

作　　者：李筱楠[1] 刘洋[1] 张诣[1] 

机构地区：[1]石家庄铁路职业技术学院,河北石家庄050041

出　　处：《石家庄铁路职业技术学院学报》2015年第2期71-73,共3页Journal of Shijiazhuang Institute of Railway Technology

基　　金：河北省高等学校科学技术研究指导项目(z2014109);河北省高等学校科学研究项目(20130210)

摘　　要：通过提取用户触控频率特征,和现有数字口令认证相结合,提出一种复合型用户身份认证方案。该方案记录了用户输入数字口令时的触控习惯,使用差别子空间生成触控特征向量,并以此作为密钥利用曼哈顿距离算法计算当前用户输入特征和密钥之间的差别,从而实现对用户身份的识别。实验证明该方案实现简单且FAR比较低。A complex user recognition approach using touch-frequency features based on both biometrics and traditional password recognition is proposed. The proposed approach records legal user＇s touch-frequency features of password authentications, calculates the common feature vector by difference subspace as a key, then utilizes the Manhattan distances between current user＇s feature vector and the key to identify users. Experimental results show the proposed approach is simple and its FAR is lower.

关 键 词：身份认证 触控频率特征 差别子空间 曼哈顿距离 

分 类 号：TP33[自动化与计算机技术—计算机系统结构]