Runtime Optimization of Identification Event in ECG Based Biometric Authenticati

Author Topic: Runtime Optimization of Identification Event in ECG Based Biometric Authenticati  (Read 401 times)

Offline Monir Hossan

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Runtime Optimization of Identification Event in ECG Based Biometric Authentication

Abstract:
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.

Authors: Nafis Neehal, Dewan Ziaul Karim, Sejuti Banik, Tasfia Anika

Source: 2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019
Link: https://arxiv.org/abs/1805.05986
Mohammad Monir Hossan
Senior Assistant Director (Division of Research)
E-mail: monirhossain@daffodilvarsity.edu.bd