Identity Authentication Based on the Dynamic Time Series Analysis of Electrocardiogram
Zte Mobile · 2014
This paper discusses a way to protect information security of E-health using a novel biometrics authentication method based on ECG(Electrocardiogram) signal, which is a kind of biological information with the features of random, uniqueness and difficult to be duplicated and forged, and is may be utilizedas biological identity authentication. We propose a fast fusion recognition method, PLR-DTW, for ECG identity recognition based on the dynamic time series analysis, and experiment results show that it is well performed and achieves a higher recognition rate.