Towards a Finger based ECG Biometric System
نویسندگان
چکیده
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.
منابع مشابه
Unveiling the Biometric Potential of Finger-Based ECG Signals
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