Pulse active harmonic (PAH) features for ECG biometric authentication

Sairul Izwan Bin Safie, Haris Nur, Zainal Azavitra, John Soraghan, Lykourgos Petropoulakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

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 Eggs 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.
Original languageEnglish
Title of host publication2013 1st International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)
PublisherIEEE
Pages255 - 260
Number of pages6
ISBN (Print)978-1-4799-3250-4
DOIs
Publication statusPublished - 5 Apr 2013

Keywords

  • electrocardiography
  • pulse active harmonics
  • feature extraction
  • harmonic analysis

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  • Cite this

    Bin Safie, S. I., Nur, H., Azavitra, Z., Soraghan, J., & Petropoulakis, L. (2013). Pulse active harmonic (PAH) features for ECG biometric authentication. In 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation (AIMS) (pp. 255 - 260). IEEE. https://doi.org/10.1109/AIMS.2013.47