Development of an electrocardiogram based biometric identification system: a case study in the university

This paper focuses on the electrocardiogram (ECG) based biometric identification system in the university scenario as an alternative to the traditional methods being used nowadays. There are a lot of researches and studies about ECG based biometric system where some of them showed positive result....

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Main Authors:	Mohammed Nadzri, Nur Izzati, Sidek, Khairul Azami, Wicaksono, Dedy H.B
Format:	Article
Language:	English English
Published:	Faculty of Electronic and Computer Engineering(FKEKK), Universiti Teknikal Malaysia Melaka 2016
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/52814/ http://irep.iium.edu.my/52814/ http://irep.iium.edu.my/52814/1/IJTECE_Development%20of%20an%20Electrocardiogram%20Based%20Biometric%20Identification%20System%20A%20Case%20Study%20in%20the%20University.pdf http://irep.iium.edu.my/52814/7/52814_Development%20of%20electrocardiogram_Scopus.pdf

id	iium-52814
recordtype	eprints
spelling	iium-528142017-04-13T04:00:46Z http://irep.iium.edu.my/52814/ Development of an electrocardiogram based biometric identification system: a case study in the university Mohammed Nadzri, Nur Izzati Sidek, Khairul Azami Wicaksono, Dedy H.B TK7885 Computer engineering This paper focuses on the electrocardiogram (ECG) based biometric identification system in the university scenario as an alternative to the traditional methods being used nowadays. There are a lot of researches and studies about ECG based biometric system where some of them showed positive result. However, ECG based biometric system in the university scenario is under-researched. Therefore, this issue will be the main focus of our study. A total of five subjects were used for experimentation purposes. A bandpass filter is used to remove unwanted portion of the signal. Unique features are extracted from these filtered ECG signals. Later, Multi layer Perceptron and Naïve Bayes are used to classify the subjects using the discriminant features. Based on the experimentation results, classification accuracies of 90% and 80 % were achieved which suggest the capability of our proposed system to identify individuals. The result provides an alternative mechanism to detect a person besides using the traditional methods. Faculty of Electronic and Computer Engineering(FKEKK), Universiti Teknikal Malaysia Melaka 2016 Article PeerReviewed application/pdf en http://irep.iium.edu.my/52814/1/IJTECE_Development%20of%20an%20Electrocardiogram%20Based%20Biometric%20Identification%20System%20A%20Case%20Study%20in%20the%20University.pdf application/pdf en http://irep.iium.edu.my/52814/7/52814_Development%20of%20electrocardiogram_Scopus.pdf Mohammed Nadzri, Nur Izzati and Sidek, Khairul Azami and Wicaksono, Dedy H.B (2016) Development of an electrocardiogram based biometric identification system: a case study in the university. Journal of Telecommunication, Electronic and Computer Engineering, 8 (4). pp. 115-120. ISSN 2180-1843 E-ISSN 2289-8131 http://journal.utem.edu.my/index.php/jtec/article/view/1184
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Mohammed Nadzri, Nur Izzati Sidek, Khairul Azami Wicaksono, Dedy H.B Development of an electrocardiogram based biometric identification system: a case study in the university
description	This paper focuses on the electrocardiogram (ECG) based biometric identification system in the university scenario as an alternative to the traditional methods being used nowadays. There are a lot of researches and studies about ECG based biometric system where some of them showed positive result. However, ECG based biometric system in the university scenario is under-researched. Therefore, this issue will be the main focus of our study. A total of five subjects were used for experimentation purposes. A bandpass filter is used to remove unwanted portion of the signal. Unique features are extracted from these filtered ECG signals. Later, Multi layer Perceptron and Naïve Bayes are used to classify the subjects using the discriminant features. Based on the experimentation results, classification accuracies of 90% and 80 % were achieved which suggest the capability of our proposed system to identify individuals. The result provides an alternative mechanism to detect a person besides using the traditional methods.
format	Article
author	Mohammed Nadzri, Nur Izzati Sidek, Khairul Azami Wicaksono, Dedy H.B
author_facet	Mohammed Nadzri, Nur Izzati Sidek, Khairul Azami Wicaksono, Dedy H.B
author_sort	Mohammed Nadzri, Nur Izzati
title	Development of an electrocardiogram based biometric identification system: a case study in the university
title_short	Development of an electrocardiogram based biometric identification system: a case study in the university
title_full	Development of an electrocardiogram based biometric identification system: a case study in the university
title_fullStr	Development of an electrocardiogram based biometric identification system: a case study in the university
title_full_unstemmed	Development of an electrocardiogram based biometric identification system: a case study in the university
title_sort	development of an electrocardiogram based biometric identification system: a case study in the university
publisher	Faculty of Electronic and Computer Engineering(FKEKK), Universiti Teknikal Malaysia Melaka
publishDate	2016
url	http://irep.iium.edu.my/52814/ http://irep.iium.edu.my/52814/ http://irep.iium.edu.my/52814/1/IJTECE_Development%20of%20an%20Electrocardiogram%20Based%20Biometric%20Identification%20System%20A%20Case%20Study%20in%20the%20University.pdf http://irep.iium.edu.my/52814/7/52814_Development%20of%20electrocardiogram_Scopus.pdf
first_indexed	2023-09-18T21:14:49Z
last_indexed	2023-09-18T21:14:49Z
_version_	1777411492082089984

Development of an electrocardiogram based biometric identification system: a case study in the university

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