Pulse active mean (PAM): a PIN supporting feature extraction algorithm for doubly secure authentication

Sairul Izwan Bin Safie, John Soraghan, Lykourgos Petropoulakis

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

4 Citations (Scopus)

Abstract

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.
LanguageEnglish
Title of host publication2011 7th International Conference on Information Assurance and Security (IAS)
Place of PublicationNew York
PublisherIEEE
Pages210-214
Number of pages5
ISBN (Print)9781457721540
DOIs
Publication statusPublished - 8 Dec 2011
Event7th International Conference on Information Assurance and Security - Malacca, Malaysia
Duration: 5 Dec 20118 Dec 2011

Conference

Conference7th International Conference on Information Assurance and Security
CountryMalaysia
CityMalacca
Period5/12/118/12/11

Fingerprint

Electrocardiography
Authentication
Feature extraction
Biometrics

Keywords

  • feature extraction
  • vectors
  • authentication
  • biometrics
  • databases
  • electrocardiography

Cite this

Bin Safie, S. I., Soraghan, J., & Petropoulakis, L. (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) (pp. 210-214). New York: IEEE. https://doi.org/10.1109/ISIAS.2011.6122821
Bin Safie, Sairul Izwan ; Soraghan, John ; Petropoulakis, Lykourgos. / Pulse active mean (PAM) : a PIN supporting feature extraction algorithm for doubly secure authentication. 2011 7th International Conference on Information Assurance and Security (IAS). New York : IEEE, 2011. pp. 210-214
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abstract = "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.",
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Bin Safie, SI, Soraghan, J & Petropoulakis, L 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, New York, pp. 210-214, 7th International Conference on Information Assurance and Security , Malacca, Malaysia, 5/12/11. https://doi.org/10.1109/ISIAS.2011.6122821

Pulse active mean (PAM) : a PIN supporting feature extraction algorithm for doubly secure authentication. / Bin Safie, Sairul Izwan; Soraghan, John; Petropoulakis, Lykourgos.

2011 7th International Conference on Information Assurance and Security (IAS). New York : IEEE, 2011. p. 210-214.

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

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N2 - 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.

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Bin Safie SI, Soraghan J, Petropoulakis L. 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). New York: IEEE. 2011. p. 210-214 https://doi.org/10.1109/ISIAS.2011.6122821