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Sung-Hoon Choi
Inje University
Computer Science & IT Electrical & Electronics Engineering

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Utilizing ECG Waveform Features as New Biometric Authentication Method Ahmed Younes Shdefat; Moon-Il Joo; Sung-Hoon Choi; Hee-Cheol Kim
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 2: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (587.527 KB) | DOI: 10.11591/ijece.v8i2.pp658-665

Abstract

In this study, we are proposing a practical way for human identification based on a new biometric method. The new method is built on the use of the electrocardiogram (ECG) signal waveform features, which are produced from the process of acquiring electrical activities of the heart by using electrodes placed on the body. This process is launched over a period of time by using a recording device to read and store the ECG signal. On the contrary of other biometrics method like voice, fingerprint and iris scan, ECG signal cannot be copied or manipulated. The first operation for our system is to record a portion of 30 seconds out of whole ECG signal of a certain user in order to register it as user template in the system. Then the system will take 7 to 9 seconds in authenticating the template using template matching techniques. 44 subjects‟ raw ECG data were downloaded from Physionet website repository. We used a template matching technique for the authentication process and Linear SVM algorithm for the classification task. The accuracy rate was 97.2% for the authentication process and 98.6% for the classification task; with false acceptance rate 1.21%.
Co-Authors Ahmed Younes Shdefat Hee-Cheol Kim Moon-il Joo