最小风险贝叶斯决策融合的多点触摸身份认证  

Multi-touch authentication based on minimum risk Bayes decision

作　　者：孙子文[1] 李富 庞永春 SUN Zi-wen;LI Fu;PANG Yong-chun(School of Internet of Things Engineering,Jiangnan University,Wuxi 214122,China)

机构地区：[1]江南大学物联网工程学院,江苏无锡214122

出　　处：《计算机工程与科学》2018年第9期1579-1584,共6页Computer Engineering & Science

基　　金：国家自然科学基金(61373126);中央高校基本科研业务费专项资金(JUSRP51510)

摘　　要：为提高智能手机中多点触摸身份认证的识别率,提出一种基于最小风险贝叶斯决策的多点触摸身份认证方法。首先采用认证手势中各单独手势序列经逻辑回归优化的均值动态时间规整算法进行局部分类,然后以贝叶斯规则为基础,引入损失函数,并计算最小风险贝叶斯决策组合规则下的局部决策结果,最后依据最小风险贝叶斯决策融合规则获得全局决策结果。实验结果显示,引入基于最小风险贝叶斯决策的融合身份认证,不仅保证了较为理想的漏警率、消弱了决策的风险性,而且降低了虚警率,获得了较为理想的分类效果。We propose a multi-touch authentication algorithm based on minimum risk Bayes decision to improve the recognition rate of multi-touch authentication on the smart phone.Firstly,authentication gesture sequences of each finger are classified by logistic regression of the mean dynamic time warping classifier.Then,based on the Bayes rules,we introduce a loss function to calculate the risk of local decision-making under the minimum risk Bayes decision fusion rules.Finally,we achieve global decision-making results according to the minimum risk Bayes decision fusion rules.Experimental results show that the leak alarm rate maintains satisfactory while the false alarm rate is effectively reduced by introducing minimum risk Bayes decision fusion rules into multi-touch authentication,and the overall classification result is good.

关 键 词：最小风险贝叶斯决策 决策融合 多点触摸 身份认证 漏警率 虚警率 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]