Population
1,012 single session subjects and 82 multiple sessions subjects from the University of Toronto database
Comparison
One-Dimensional Multi-Resolution Local Binary… vs State-of-the-art work and biometric system based…
Design
Other
Key result
Continuous authentication using 1DMRLBP on ECG signals achieved an equal error rate of 7.89% compared to 12.30% for state-of-the-art methods.
Authors
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May enhance ECG biometric security in cardiology systems; leaves open prospective validation before clinical use.
The proposed 1DMRLBP feature extraction method for ECG signals improves continuous biometric authentication accuracy compared to existing methods.
Absolute Event Rate: 7.89% vs 12.3%
Louis et al. (2016) studied ECG biometrics (n=1,012). One-Dimensional Multi-Resolution Local Binary Patterns (1DMRLBP) vs. State-of-the-art work and raw time-samples was evaluated on Equal error rate (EER) on single session subjects. Continuous authentication using 1DMRLBP on ECG signals achieved an equal error rate of 7.89% compared to 12.30% for state-of-the-art methods.