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Novel Transform Domain Techniques for Person Identification using ECG Signals
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 179 - Number 1 |
| Year of Publication: 2017 |
| Authors: Rudresh M. D., H. S. Jayanna, Anitha Sheela K. |
10.5120/ijca2017915014
|
Rudresh M. D., H. S. Jayanna, Anitha Sheela K. . Novel Transform Domain Techniques for Person Identification using ECG Signals. International Journal of Computer Applications. 179, 1 ( Dec 2017), 9-14. DOI=10.5120/ijca2017915014
Abstract
The person identification is an active area in research fields. many person identification techniques have been proposed in literature both in time domain and transformed domain. An improved various transformed domain techniques are proposed in this paper. This paper work also demonstrates the task of identifying the person with the various segments of ECG signals, and also investigates which segments of ECG signals has more person specific information by using transformational methods. A transformed domain technique includes discrete fourier transform, discrete cosine transform and discrete wavelet transform. An experimental results on ECG signals using transformed domain techniques demonstrates that the improvement of proposed techniques over those of time domain techniques.
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