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Electrocardiogram for Biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): Integrating Feature Extraction and Classification Cover

Electrocardiogram for Biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): Integrating Feature Extraction and Classification

International Journal on Smart Sensing and Intelligent Systems
Volume 6 (2013): Issue 5 (January 2013)
By: ,   and    
Open Access
|Dec 2013
Authors

Authors

Elly Matul Imah

elly.matul01@ui.ac.id

Faculty of Computer Science Universitas Indonesia Depok, Indonesia

Wisnu Jatmiko

wisnuj@cs.ui.ac.id

Faculty of Computer Science Universitas Indonesia Depok, Indonesia

T. Basaruddin

Faculty of Computer Science Universitas Indonesia Depok, Indonesia
DOI: https://doi.org/10.21307/ijssis-2017-619 | Journal eISSN: 1178-5608
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Language: English
Page range: 1891 - 1917
Submitted on: Jul 3, 2013
Accepted on: Oct 28, 2013
Published on: Dec 16, 2013
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
ECG biometrics,
AMGLVQ,
SVM,
back-propagation-NN,
feature extraction,
classification,
vector quantization.
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2013 Elly Matul Imah, Wisnu Jatmiko, T. Basaruddin, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 6 (2013): Issue 5 (January 2013)
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