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http://dx.doi.org/10.13067/JKIECS.2015.10.4.521

Personal Biometric Identification based on ECG Features  

Yoon, Seok-Joo (송원대학교 컴퓨터정보학과)
Kim, Gwang-Jun (전남대학교 전기.전자통신.컴퓨터공학부)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.10, no.4, 2015 , pp. 521-526 More about this Journal
Abstract
Research on how to use the biological characteristics of human to confirm the identity of the individual is being actively conducted. Electrocardiogram(: ECG) based biometric system is difficult to counterfeit and does not cause skin irritation on the subject. It can be easily combined with conventional biometrics such as fingerprint and face recognition to give multimodal biometric systems. In this thesis, biometric identification method analysing ECG waveform characteristics from Discrete Wavelet Transform(DWT) coefficients is suggested. Feature selection is performed on the 9 coefficients of DWT using the correlation analysis. The verification is achieved by using the error back propagation neural networks. Using the proposed approach on 24 subjects of MIT-BIH QT Database, 98.88% verification rate has been obtained.
Keywords
Electrocardiogram; Discrete Wavelet Transform; Identity Verification;
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Times Cited By KSCI : 3  (Citation Analysis)
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