TOWARDS A FINGER BASED ECG BIOMETRIC SYSTEM

André Lourenço, Hugo Silva, Daniel Perna Santos, Ana Fred

Abstract

The ECG signal has been shown to contain relevant information for human identification. Even though results validate the potential of these signals, data acquisition methods and apparatus explored so far compromise user acceptability. In this paper we propose an ECG based biometric system that uses signals collected at the fingers through a minimally intrusive 1-lead ECG setup. Time domain ECG signal processing is performed, following the usual steps of filtering, peak detection, heartbeat waveform segmentation, and amplitude normalization. We introduce two additional steps of synthetic waves generation and time normalization. Through a simple one nearest neighbor classifier, results have revealed this to be a promising technique.

References

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Paper Citation


in Harvard Style

Lourenço A., Silva H., Perna Santos D. and Fred A. (2011). TOWARDS A FINGER BASED ECG BIOMETRIC SYSTEM . 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 348-353. DOI: 10.5220/0003286803480353


in Bibtex Style

@conference{biosignals11,
author={André Lourenço and Hugo Silva and Daniel Perna Santos and Ana Fred},
title={TOWARDS A FINGER BASED ECG BIOMETRIC SYSTEM},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={348-353},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003286803480353},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - TOWARDS A FINGER BASED ECG BIOMETRIC SYSTEM
SN - 978-989-8425-35-5
AU - Lourenço A.
AU - Silva H.
AU - Perna Santos D.
AU - Fred A.
PY - 2011
SP - 348
EP - 353
DO - 10.5220/0003286803480353