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Advisor(s)
Abstract(s)
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 extracts
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.
Description
Keywords
Biometrics Electrocardiographic signals ECG Embedded platform ARM Cortex 4
Citation
Matos, André Cigarro; [et al] - Embedded system for individual recognition based on ECG biometrics. Procedia Technology. ISSN 2212-0173. Vol. 17. 265-272, 2014
Publisher
Elsevier