Embedded System for Individual Recognition Based on ECG Biometrics | Zendy

André Cigarro Matos | Zendy; André Lourenço | Zendy; José M. P. Nascimento | Zendy

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Embedded System for Individual Recognition Based on ECG Biometrics

Author(s) -

André Cigarro Matos,

André Lourenço,

José M. P. Nascimento

Publication year - 2014

Publication title -

procedia technology

Language(s) - English

Resource type - Journals

ISSN - 2212-0173

DOI - 10.1016/j.protcy.2014.10.236

Subject(s) - biometrics , computer science , authentication (law) , identification (biology) , state (computer science) , path (computing) , speech recognition , pattern recognition (psychology) , artificial intelligence , embedded system , computer security , computer network , algorithm , botany , biology

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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