Gesture Authentication Research Based on Improved Dynamic Time Warping and Mutual Information De-Noising
In order to confront the information security threats of smart phones,a behavioral biometric user authenti-cation mechanism for mobile devices based upon gestures was presented.It utilized embedded accelerometer to cap-ture the acceleration signal of a person’s authenticating gesture.After automatic gesture endpoint detection,a new al-gorithm based on wavelet packet and mutual information entropy was put forward for de-noising.Finally an improved Dynamic Time Warping method was proposed to measure the similarity between two gesture signal sequences,and the result of authentication was got from these similarities.Experimental results demonstrated that the False Rejection Rate was around 7%while the False Acceptance Rate was approaching 0%. Moreover this scheme has low time com-plexity,so effective and real-time user authentication on smart phones can be achieved.
dynamic gesture authenticationbehavioral biometricsaccelerometermutual information entropyDynamic Time Warping( DTW)
国家科技期刊平台
NSTL
万方数据
维普
