Key result
The polynomial distance measurement method for ECG-based biometric authentication achieved up to 100% accuracy on a population of 15, while being up to 12 times faster than existing algorithms.
A novel polynomial distance measurement method for ECG-based biometric authentication demonstrates high accuracy and efficiency in a small test population.
Supports ECG biometric development; leaves open validation in larger, diverse populations before clinical consideration.
Existing electrocardiography (ECG) based biometric systems are constantly being challenged by higher misclassification error, longer acquisition time, larger template size, slower processing time and pertinence of abnormal beats within the biometric template. These challenges are the prime hindrance for ECG based biometric being commercialized as a pervasive authentication mechanism. At least, ECG based biometric can provide a secured mechanism for cardiac patients being monitored over telephony network. In this paper, we present a polynomial distance measurement (PDM) method for ECG based biometric authentication for the very first time, according to the literature and to the best of our knowledge. The proposed PDM method is up to 12 times faster than existing algorithms, requires up to 6.5 times less template storage, needs only 2.49 (average) acquisition time with the highest accuracy rate (up to 100 per cent) when experimented on a population size of 15. Moreover, this proposed ECG based biometric system was deployed on a mobile phone based telemonitoring scenario with multilayer authentication mechanism upholding its applicability.
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Sufi et al. (2008) studied ECG based biometric authentication (n=15). Polynomial distance measurement (PDM) method vs. Existing algorithms was evaluated on Accuracy rate. The polynomial distance measurement method for ECG-based biometric authentication achieved up to 100% accuracy on a population of 15, while being up to 12 times faster than existing algorithms.
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