Volume 10 - Volume 10
Multimbiometric Authentication using ECG
Abstract
In this paper, we present a proposal for a multi-biometric authentication system using ECG signals.
This paper presents basic definitions on the ECG usage as a biometric identifier as some proposed
systems in the reviewed literature. The HiMotion dataset, Gamboa et al. (2014), is used to perform
the evaluation using fiducial and non-fiducial approaches considering all the sample and the dataset with a 6 min cut. The obtained results show that the EER reduces from 0.70% to 0.36% using the whole dataset using the fiducial approach. The accuracy increases using the non-fiducial approach from 60.49% to 95.28%.
Paper Details
PaperID: p 5741-5746
Author's Name: Walter Priesnitz Filho and Ana Luísa Nobre Fred
Volume: Volume 10
Issues: Volume 10
Keywords: ECG signals; biometrics; HiMotion; multi-biometric.
Year: 2020
Month: December
Pages: 5741-5746