Novel fiducial and non‐fiducial approaches to electrocardiogram‐based biometric systems

77 healthy individuals (51 healthy control individuals from a publicly available benchmark dataset and 26 healthy volunteers performing computer activities)

ECG-based real-time biometric system using fiducial and non-fiducial approaches (including data acquisition, signal processing, feature extraction and analysis, and classification methodologies)

Performance evaluation of the ECG as a real-time biometric for human identification and authenticationsurrogate