Open Access
ARTICLE
User Authentication System Based on Baseline‐corrected ECG for Biometrics
Gyu Ho Choia, Jae Hyo Jungb, Hae Min Moonc, Youn Tae Kimb, Sung Bum Panc
aDept. of Control and Measurement Engineering, Chosun Univ. Gwangju, South Korea;
bDept. of IT Convergence Engineering, Chosun Univ. Gwangju, South Korea;
cDept. of Electronics Engineering, Chosun Univ. Gwangju, South Korea
* Corresponding Author: Sung Bum Pan,
Intelligent Automation & Soft Computing 2019, 25(1), 193-204. https://doi.org/10.31209/2018.100000055
Abstract
Recently, ECG-based user authentication technology, which is strong against
forgery and falsification, has been actively studied compared to fingerprint and
face authentication. It is impossible to measure the open ECG DB measured
with expensive medical equipment in daily living, and the ECG measured with
the developed device for easy ECG measurement has much noise. In this
paper, we developed a device that easily measures the ECG for user
authentication in everyday life, measured the ECG through the development
equipment, adjusted the baseline correction of the measured ECG, extracted it
from the adjusted ECG do. The proposed system includes the steps of
obtaining ECGs, pre-processing ECG signals, segmenting the signals and
extracting features thereof to evaluate user authentication performance. The
ECG lead-Ⅰ was obtained from 100 subjects for 120 seconds while they were
comfortably positioned. Although the maximum user authentication
performance of the existing algorithm was EER of 1.82%, it was observed the
maximum performance of the proposed user authentication system was 0.71%
higher than the existing algorithm.
Keywords
Cite This Article
G. H. Choi, J. H. Jung, H. M. Moon, Y. T. Kim and S. B. Pan, "User authentication system based on baseline‐corrected ecg for biometrics,"
Intelligent Automation & Soft Computing, vol. 25, no.1, pp. 193–204, 2019.