Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/8973
Title: | Pulse Active Harmonic (PAH) Features for ECG Biometric Authentication |
Authors: | Sairul Izwan Safie Lykourgos Petropoulakis John J Soraghan |
Keywords: | Pulse Active Harmonic Electrocardiograph Biometric Authentication |
Issue Date: | 11-Dec-2014 |
Abstract: | This paper presents a feature extraction method known as Pulse Active Harmonic (PAH) implemented on electrocardiograph (ECG) signals for biometric authentication. The technique is based on a pulse width modulation concept. A total of 200 ECGs from 100 subjects, taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in the simulations. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. This work shows that: a) the PAH method outperforms conventional temporal feature extraction techniques, b) its performance is comparable to other, previously introduced, Pulse Active based methods. Hence, owing to their close similarities Pulse Active approaches can readily be combined to form robust and inherently secure biometric authentication systems |
Description: | Conference venue:Kuala Lumpur |
URI: | http://localhost/xmlui/handle/123456789/8973 |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Pulse Active Harmonic (PAH) Features for ECG Biometric Authentication.pdf | Pulse Active Harmonic (PAH) Features for ECG Biometric Authentication | 243.81 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.