Pulse active mean (PAM) : a PIN supporting feature extraction algorithm for doubly secure authentication
Bin Safie, Sairul Izwan and Soraghan, John and Petropoulakis, Lykourgos; (2011) Pulse active mean (PAM) : a PIN supporting feature extraction algorithm for doubly secure authentication. In: 2011 7th International Conference on Information Assurance and Security (IAS). IEEE, MYS, pp. 210-214. ISBN 9781457721540 (https://doi.org/10.1109/ISIAS.2011.6122821)
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This paper presents a new feature extraction technique called Pulse Active Mean (PAM) implemented on Electrocardiograms (ECG) for biometric authentication. A doubly secure ECG authentication framework is proposed which makes use of the important attributes of the PAM algorithm as a personal identification number (PIN). The PIN is used to extract different locations of ECG characteristics generating unique feature vectors. The presence of the correct PIN and ECG signals make the proposed authentication framework doubly secure. The performance of PAM is evaluated by comparing its receiver operating characteristic (ROC) curve with traditional temporal and amplitude feature extraction techniques on 100 Physikalisch-Technische Bundesanstalt (PTB) subjects. The evaluation of the biometric performance when different values of PIN are presented is also investigated. It is shown in this paper that different PIN values generate different feature vector sets while still providing consistent authentication performance.
ORCID iDs
Bin Safie, Sairul Izwan, Soraghan, John ORCID: https://orcid.org/0000-0003-4418-7391 and Petropoulakis, Lykourgos ORCID: https://orcid.org/0000-0003-3230-9670;-
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Item type: Book Section ID code: 48342 Dates: DateEvent8 December 2011PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 29 May 2014 10:58 Last modified: 11 Nov 2024 14:56 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/48342