基于ECG的生物特征身份识别技术分析

Biometric Identification Technology Based on ECG

基于心电信号(Electrocardiosignal,ECG)的生物特征身份识别技术是一种活体的身份识别,防伪性高。ECG身份识别技术分为两大类:一种是非基准点的ECG身份识别方法,波形分析信息量和存储量大;另一种是基于特征的ECG身份识别方法,其识别率和系统稳定性主要依赖各基准点的定位精确度,而定位精确度又会受到个体差异、ECG采集过程中产生的噪声等许多因素影响。此外,选取哪些特征作为身份识别的关键特征、如何选取更有效的训练学习算法和分类识别算法也是ECG身份识别的重点研究领域。

Biometric identification technology based on electrocardiogram(ECG) is a kind of living identity recognition, which has high anti-counterfeiting. ECG identification technology can be divided into two categories: one is based on non reference point, in this method, the amount of waveform analysis information and storage is large;the other is based on feature point extraction, the recognition rate and system stability of this method mainly depend on the positioning accuracy of each reference point, and the positioning accuracy will be affected by many factors such as individual differences and noise generated in the process of ECG acquisition. At the same time, which feature points should be selected as the key points of identity recognition, how to select more effective training and learning algorithms and classification recognition algorithms are also a key research field of ECG identity recognition in the future.