Electrocardiogram (ECG) biometric authentication using pulse active ratio (PAR)

Sairul Izwan Bin Safie; John Soraghan; Lykourgos Petropoulakis

doi:10.1109/TIFS.2011.2162408

Electrocardiogram (ECG) biometric authentication using pulse active ratio (PAR)

Sairul Izwan Bin Safie, John Soraghan, Lykourgos Petropoulakis

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents a new feature extraction method known as Pulse Active Ratio (PAR) implemented on electrocardiograph (ECG) signals for biometric authentication. This method is developed based on a simple amplitude comparison between two signals to extract a feature. A total of 486 ECGs from 113 subjects taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in this study. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. It is shown in this study that PAR outperformed conventional temporal feature extraction techniques.

Original language	English
Pages (from-to)	1315-1322
Number of pages	8
Journal	IEEE Transactions on Information, Forensics, and Security
Volume	6
Issue number	4
Early online date	18 Nov 2011
DOIs	https://doi.org/10.1109/TIFS.2011.2162408
Publication status	Published - 1 Dec 2011

Keywords

biometric authentification
pulse active ratio

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10.1109/TIFS.2011.2162408

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abstract = "This paper presents a new feature extraction method known as Pulse Active Ratio (PAR) implemented on electrocardiograph (ECG) signals for biometric authentication. This method is developed based on a simple amplitude comparison between two signals to extract a feature. A total of 486 ECGs from 113 subjects taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in this study. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. It is shown in this study that PAR outperformed conventional temporal feature extraction techniques.",

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AB - This paper presents a new feature extraction method known as Pulse Active Ratio (PAR) implemented on electrocardiograph (ECG) signals for biometric authentication. This method is developed based on a simple amplitude comparison between two signals to extract a feature. A total of 486 ECGs from 113 subjects taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in this study. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. It is shown in this study that PAR outperformed conventional temporal feature extraction techniques.

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Electrocardiogram (ECG) biometric authentication using pulse active ratio (PAR)

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Keywords

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