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  • Research Article
  • Open Access

Analysis of Human Electrocardiogram for Biometric Recognition

  • 1Email author,
  • 1,
  • 1 and
  • 1
EURASIP Journal on Advances in Signal Processing20072008:148658

https://doi.org/10.1155/2008/148658

  • Received: 3 May 2007
  • Accepted: 30 August 2007
  • Published:

Abstract

Security concerns increase as the technology for falsification advances. There are strong evidences that a difficult to falsify biometric trait, the human heartbeat, can be used for identity recognition. Existing solutions for biometric recognition from electrocardiogram (ECG) signals are based on temporal and amplitude distances between detected fiducial points. Such methods rely heavily on the accuracy of fiducial detection, which is still an open problem due to the difficulty in exact localization of wave boundaries. This paper presents a systematic analysis for human identification from ECG data. A fiducial-detection-based framework that incorporates analytic and appearance attributes is first introduced. The appearance-based approach needs detection of one fiducial point only. Further, to completely relax the detection of fiducial points, a new approach based on autocorrelation (AC) in conjunction with discrete cosine transform (DCT) is proposed. Experimentation demonstrates that the AC/DCT method produces comparable recognition accuracy with the fiducial-detection-based approach.

Keywords

  • Autocorrelation
  • Discrete Cosine Transform
  • Recognition Accuracy
  • Full Article
  • Security Concern

Publisher note

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Authors’ Affiliations

(1)
The Edward S. Rogers Sr., Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, M5S 3G4 Toronto, ON, Canada

Copyright

© YongjinWang et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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