Person Identification using Electrocardiograms

10 years 7 months ago
Person Identification using Electrocardiograms
In this paper, the authors present an evaluation of a new biometric based on electrocardiogram (ECG) waveforms. ECG data were collected from 50 subjects during 3 data recordings sessions on different days using a simple user interface, where subjects held two electrodes on the pads of their thumbs using their thumb and index fingers. Data from session 1 were used to establish an enrolled database and data from the remaining two sessions were used as test cases. Classification was performed using three different quantitative measures: percent residual difference, correlation coefficient, and a novel distance measure based on the wavelet transform. The wavelet distance measure has a classification accuracy of 95%, outperforming the other methods by over 10%. This ECG person identification modality would be a useful supplement for conventional biometrics, such as fingerprint and palm recognition systems.
Adrian D. C. Chan, Mohyledin M. Hamdy, Armin Badre
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Authors Adrian D. C. Chan, Mohyledin M. Hamdy, Armin Badre, Vesal Badee
Comments (0)