ECG-based biometric authentication using mulscale descriptors: ECG-based biometric authentication

@article{Bashar2015ECGbasedBA,
  title={ECG-based biometric authentication using mulscale descriptors: ECG-based biometric authentication},
  author={Md. Khayrul Bashar and Yuji Ohta and Hiroaki Yoshida},
  journal={2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)},
  year={2015},
  pages={1-4}
}
ECG-based based human recognition is increasingly becoming a popular modality for biometric authentication. Two important features of ECG signals are liveliness and the robustness against falsification. However, ECG features vary due to muscle flexure, baseline wander, and other sources of noise. This paper presents a new method which extracts multiscale geometric features from ECG signals and apply them for human identification. A non-linear filter is applied for preprocessing the ECG signal… CONTINUE READING

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