Biometric Authentication has become a very popular method for different state-of-the-art security architectures. Albeit the ubiquitous acceptance and constant development of trivial biometric authentication methods such as fingerprint, palm-print, retinal scan etc., the possibility of producing a highly competitive performance from somewhat less-popular methods still remains. Electrocardiogram (ECG) based biometric authentication is such a method, which, despite its limited appearance in earlier research works, are currently being observed as equivalently high-performing as other trivial popular methods. In this paper, we have proposed a model to optimize the runtime of identification event in ECG based biometric authentication and we have achieved a maximum of 79.26% time reduction with 100% accuracy.
@article{arxiv.1805.05986,
title = {Runtime Optimization of Identification Event in ECG Based Biometric Authentication},
author = {Nafis Neehal and Dewan Ziaul Karim and Sejuti Banik and Tasfia Anika},
journal= {arXiv preprint arXiv:1805.05986},
year = {2018}
}