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Authors: David Pereira Coutinho 1 ; Ana L. N. Fred 2 and Mario A. T. Figueiredo 2

Affiliations: 1 Instituto Superior de Engenharia de Lisboa and Instituto de Telecomunicações and Instituto Superior Técnico, Portugal ; 2 Instituto de Telecomunicações and Instituto Superior Técnico, Portugal

ISBN: 978-989-8425-35-5

Keyword(s): Biometrics, ECG, String matching, LZ77, Data compression.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Telecommunications

Abstract: Conventional access control systems are typically based on a single time instant authentication. However, for high-security environments, continuous user verification is needed in order to robustly prevent fraudulent or unauthorized access. The electrocardiogram (ECG) is an emerging biometric modality with the following characteristics: (i) it does not require liveliness verification, (ii) there is strong evidence that it contains sufficient discriminative information to allow the identification of individuals from a large population, (iii) it allows continuous user verification. Recently, a string matching approach for ECG-based biometrics, using the Ziv-Merhav (ZM) cross parsing, was proposed. Building on previous work, and exploiting tools from data compression, this paper goes one step further, proposing a method for ECG-based continuous authentication. An adaptive way of using the ZM cross parsing is introduced. The use of the Lloyd-Max quantization is also introduced to improve the results with the string matching approach for ECG-based biometrics. Results on one-lead ECG real data are presented, acquired during a concentration task, from 19 healthy individuals. (More)

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Paper citation in several formats:
Pereira Coutinho, D.; L. N. Fred, A. and A. T. Figueiredo, M. (2011). ECG-BASED CONTINUOUS AUTHENTICATION SYSTEM USING ADAPTIVE STRING MATCHING.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 354-359. DOI: 10.5220/0003292003540359

@conference{biosignals11,
author={David Pereira Coutinho. and Ana L. N. Fred. and Mario A. T. Figueiredo.},
title={ECG-BASED CONTINUOUS AUTHENTICATION SYSTEM USING ADAPTIVE STRING MATCHING},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={354-359},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003292003540359},
isbn={978-989-8425-35-5},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - ECG-BASED CONTINUOUS AUTHENTICATION SYSTEM USING ADAPTIVE STRING MATCHING
SN - 978-989-8425-35-5
AU - Pereira Coutinho, D.
AU - L. N. Fred, A.
AU - A. T. Figueiredo, M.
PY - 2011
SP - 354
EP - 359
DO - 10.5220/0003292003540359

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