Electrocardiogram (ECG) Biometric Authentication Using Pulse Active Ratio (PAR)

Biometric authentication is a one-to-one verification process. A successful biometric system must be capable of avoiding a fraudulent claim while at the same time ensuring the privacy of individuals. This paper presents a novel framework for using the electrocardiogram (ECG) as a biometric system for human authentication. A new feature extraction technique known as pulse active ratio (PAR) is derived and used to generate novel ECG feature vectors. The proposed method is validated by experiments on 112 subjects, performing 9800 ECG comparisons providing a 10% improvement when compared to conventional temporal and amplitude feature extraction methods.

[1]  Khalil El-Khatib,et al.  Biometric Identification System Based on Electrocardiogram Data , 2008, 2008 New Technologies, Mobility and Security.

[2]  Jeffrey M. Hausdorff,et al.  Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .

[3]  Adrian D. C. Chan,et al.  Wavelet Distance Measure for Person Identification Using Electrocardiograms , 2008, IEEE Transactions on Instrumentation and Measurement.

[4]  Dimitrios Hatzinakos,et al.  ECG Based Recognition Using Second Order Statistics , 2008, 6th Annual Communication Networks and Services Research Conference (cnsr 2008).

[5]  S.M. Krishnan,et al.  Identifying individuals using ECG beats , 2004, 2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04..

[6]  J. Koseeyaporn,et al.  Human Identification System Based ECG Signal , 2005, TENCON 2005 - 2005 IEEE Region 10 Conference.

[7]  Hsiao-Lung Chan,et al.  Human identification by quantifying similarity and dissimilarity in electrocardiogram phase space , 2009, Pattern Recognit..

[8]  Chih-Yu Hsu,et al.  A Novel Personal Identity Verification Approach Using a Discrete Wavelet Transform of the ECG Signal , 2008, 2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008).

[9]  Clemens Elster,et al.  Verification of humans using the electrocardiogram , 2007, Pattern Recognit. Lett..

[10]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[11]  Dimitrios Hatzinakos,et al.  Analysis of Human Electrocardiogram for Biometric Recognition , 2008, EURASIP J. Adv. Signal Process..

[12]  D. Hatzinakos,et al.  ECG Biometric Recognition Without Fiducial Detection , 2006, 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference.

[13]  A. Uchiyama,et al.  Development of an ECG identification system , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  L. Biel,et al.  ECG analysis: a new approach in human identification , 1999, IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309).

[15]  Dimitrios Hatzinakos,et al.  A new ECG feature extractor for biometric recognition , 2009, 2009 16th International Conference on Digital Signal Processing.

[16]  Brenda K. Wiederhold,et al.  ECG to identify individuals , 2005, Pattern Recognit..

[17]  Yu Hen Hu,et al.  One-lead ECG for identity verification , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.