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Embedded System for Individual Recognition Based on ECG Biometrics

Cigarro Matos, A. ; Nascimento, J. ; Lourenço, A.

Procedia Technology Vol. 17, Nº -, pp. 265 - 272, September, 2014.

ISSN (print): 2212-0173
ISSN (online):

Journal Impact Factor: (in )

Digital Object Identifier: 10.1016/j.protcy.2014.10.236

Abstract
Biometric recognition is emerging has an alternative solution for applications where the privacy of the information is crucial. This paper presents an embedded biometric recognition system based on the Electrocardiographic signals (ECG) for individual identification and authentication. The proposed system implements a real-time state-of-the-art recognition algorithm, which ex- tracts information from the frequency domain. The system is based on a ARM Cortex 4. Preliminary results show that embedded platforms are a promising path for the implementation of ECG-based applications in real-world scenario.
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