Key result
A chaotic theoretical approach to ECG-based identity recognition is presented as a novel biometric identification technology.
The paper introduces a chaotic theoretical approach to using ECG signals for biometric identity recognition.
Offers theoretical ECG biometrics foundation; leaves open clinical validation and implementation.
Sophisticated technologies realized from applying the idea of biometric identification are increasingly applied in the entrance security management system, private document protection, and security access control. Common biometric identification involves voice, attitude, keystroke, signature, iris, face, palm or finger prints, etc. Still, there are novel identification technologies based on the individual's biometric features under development [1-4].
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Chen et al. (2014) studied Biometric identification. ECG-Based Identity Recognition was evaluated. A chaotic theoretical approach to ECG-based identity recognition is presented as a novel biometric identification technology.
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