Feature Extraction and Identification of Biometric Information from ECG
FENG Yurong
CHEN Wei
CAI Guangyue
Abstract：Human body physiological characteristics such as fingerprint,face,palm,iris and retina have been widely used in the field of commercial biometrics,However,these kinds of features are static,which are easy to be copied and forged. In recent years,the physiological characteristics of human body,such as EGC and heart sound,have been proved to be used in biological rec?ognition. This paper reports a biometric identification algorithm based on ECG signals. In this method,raw ECG signals are first fil?tered by wavelet,and then classified by SVM. In this research,24 datasets collected from 12 subjects are used to test the method. Result show that 21 can be successfully identified,the success rate is 87.5%.
Keywords：ECGwavelet de-noisingSVMbiometrics
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1099-1103 )