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.
|Pages (from-to)||1315 - 1322|
|Number of pages||8|
|Journal||IEEE Transactions on Information, Forensics, and Security|
|Early online date||18 Nov 2011|
|Publication status||Published - 1 Dec 2011|
- biometric authentification
- pulse active ratio