Human identification based on ECG signal

This Biometric identification technology has been growing over the last years with increasing demand to improve the technology and provide a better security for the society. In this paper, a biometric identification system using electrocardiogram (ECG) has been introduced and to compete with the exi...

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Main Authors: Amiruddin, Ainunjariah, Khalifa, Othman Omran, Rabih, Fadlallah Ali Fadlallah
Format: Conference or Workshop Item
Language:English
English
Published: 2015
Subjects:
Online Access:http://irep.iium.edu.my/47811/1/268_Othman_Khalifa_PID3861145.pdf
http://irep.iium.edu.my/47811/2/IEEE_Sudan.pdf
http://irep.iium.edu.my/47811/
http://www.iccneee15.org/
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spelling my.iium.irep.478112016-01-29T01:36:09Z http://irep.iium.edu.my/47811/ Human identification based on ECG signal Amiruddin, Ainunjariah Khalifa, Othman Omran Rabih, Fadlallah Ali Fadlallah T Technology (General) TK Electrical engineering. Electronics Nuclear engineering This Biometric identification technology has been growing over the last years with increasing demand to improve the technology and provide a better security for the society. In this paper, a biometric identification system using electrocardiogram (ECG) has been introduced and to compete with the existing biometric identification systems such as fingerprint, signature, voice and face. Various studies have been conducted by previous researchers in order to find the best procedures and techniques to provide an ECG identification system with the lowest percentage of error. A proposed scheme is presented in this work based on the previous studies. It is illustrate the uniqueness of ECG signal for each person thus it can be used to identify an individual. 2015-09-07 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/47811/1/268_Othman_Khalifa_PID3861145.pdf application/pdf en http://irep.iium.edu.my/47811/2/IEEE_Sudan.pdf Amiruddin, Ainunjariah and Khalifa, Othman Omran and Rabih, Fadlallah Ali Fadlallah (2015) Human identification based on ECG signal. In: 2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCCNEE 2015), 7th-9th Dec. 2015, Khartoum, Sudan. (Unpublished) http://www.iccneee15.org/
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Amiruddin, Ainunjariah
Khalifa, Othman Omran
Rabih, Fadlallah Ali Fadlallah
Human identification based on ECG signal
description This Biometric identification technology has been growing over the last years with increasing demand to improve the technology and provide a better security for the society. In this paper, a biometric identification system using electrocardiogram (ECG) has been introduced and to compete with the existing biometric identification systems such as fingerprint, signature, voice and face. Various studies have been conducted by previous researchers in order to find the best procedures and techniques to provide an ECG identification system with the lowest percentage of error. A proposed scheme is presented in this work based on the previous studies. It is illustrate the uniqueness of ECG signal for each person thus it can be used to identify an individual.
format Conference or Workshop Item
author Amiruddin, Ainunjariah
Khalifa, Othman Omran
Rabih, Fadlallah Ali Fadlallah
author_facet Amiruddin, Ainunjariah
Khalifa, Othman Omran
Rabih, Fadlallah Ali Fadlallah
author_sort Amiruddin, Ainunjariah
title Human identification based on ECG signal
title_short Human identification based on ECG signal
title_full Human identification based on ECG signal
title_fullStr Human identification based on ECG signal
title_full_unstemmed Human identification based on ECG signal
title_sort human identification based on ecg signal
publishDate 2015
url http://irep.iium.edu.my/47811/1/268_Othman_Khalifa_PID3861145.pdf
http://irep.iium.edu.my/47811/2/IEEE_Sudan.pdf
http://irep.iium.edu.my/47811/
http://www.iccneee15.org/
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score 13.160551