Robust ECG Biometrics by Fusing Temporal and Cepstral Information

@article{Li2010RobustEB,
  title={Robust ECG Biometrics by Fusing Temporal and Cepstral Information},
  author={Ming Li and Shrikanth Narayanan},
  journal={2010 20th International Conference on Pattern Recognition},
  year={2010},
  pages={1326-1329}
}
The use of vital signs as a biometric is a potentially viable approach in a variety of application scenarios such as security and personalized health care. In this paper, a novel robust Electrocardiogram (ECG) biometric algorithm based on both temporal and cepstral information is proposed. First, in the time domain, after pre-processing and normalization, each heartbeat of the ECG signal is modeled by Hermite polynomial expansion (HPE) and support vector machine (SVM). Second, in the… CONTINUE READING
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