Photoplethysmogram based biometric recognition for twins

This paper presents a photoplethysmogram (PPG) based biometric recognition technique for twins. PPG devices have been widely used due to its advantages such as non-invasive, low cost and small in size which makes it a convenient analytical tool. To the best of our knowledge, little has been set pe...

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Main Authors:	Mohammed Nadzr, Nur Izzati, Sulaimi, Mariana, Umadi, Lina Fadhilah, Sidek, Khairul Azami
Format:	Article
Language:	English
Published:	Indian Society for Education and Environment & Informatics Publishing Limited\| 2016
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/52538/ http://irep.iium.edu.my/52538/ http://irep.iium.edu.my/52538/ http://irep.iium.edu.my/52538/1/IJST_Photoplethysmogram%20Based%20Biometric%20Recognition%20for%20Twins.pdf

id	iium-52538
recordtype	eprints
spelling	iium-525382017-10-19T02:21:54Z http://irep.iium.edu.my/52538/ Photoplethysmogram based biometric recognition for twins Mohammed Nadzr, Nur Izzati Sulaimi, Mariana Umadi, Lina Fadhilah Sidek, Khairul Azami TK7885 Computer engineering This paper presents a photoplethysmogram (PPG) based biometric recognition technique for twins. PPG devices have been widely used due to its advantages such as non-invasive, low cost and small in size which makes it a convenient analytical tool. To the best of our knowledge, little has been set pertaining to biometric recognition for twins using PPG signal. A total of six subjects from three couple of twins were used for experimentation purposes. The signals were processed using a low pass filter to remove unwanted noise. Then, multiple cycle of PPG waveforms were extracted and later, Naive Bayes (NB) and Radial Basis Function (RBF) network classifiers are used to categorize the subjects using the discriminant features. Based on the experimentation results, classification accuracies of 97% and 94% were achieved when using Naive Bayes and RBF network respectively which suggests the capability of our proposed system to identify individuals regardless whether the persons is a twin or not. The outcome also provides complimentary mechanism to detect a person besides using the current existing methods. Indian Society for Education and Environment & Informatics Publishing Limited\| 2016-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/52538/1/IJST_Photoplethysmogram%20Based%20Biometric%20Recognition%20for%20Twins.pdf Mohammed Nadzr, Nur Izzati and Sulaimi, Mariana and Umadi, Lina Fadhilah and Sidek, Khairul Azami (2016) Photoplethysmogram based biometric recognition for twins. Indian Journal of Science and Technology, 9 (36). pp. 1-9. ISSN 0974-6846 E-ISSN 0974-5645 http://www.indjst.org/index.php/indjst/article/view/97725/73736 10.17485/ijst/2016/v9i36/97725
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Mohammed Nadzr, Nur Izzati Sulaimi, Mariana Umadi, Lina Fadhilah Sidek, Khairul Azami Photoplethysmogram based biometric recognition for twins
description	This paper presents a photoplethysmogram (PPG) based biometric recognition technique for twins. PPG devices have been widely used due to its advantages such as non-invasive, low cost and small in size which makes it a convenient analytical tool. To the best of our knowledge, little has been set pertaining to biometric recognition for twins using PPG signal. A total of six subjects from three couple of twins were used for experimentation purposes. The signals were processed using a low pass filter to remove unwanted noise. Then, multiple cycle of PPG waveforms were extracted and later, Naive Bayes (NB) and Radial Basis Function (RBF) network classifiers are used to categorize the subjects using the discriminant features. Based on the experimentation results, classification accuracies of 97% and 94% were achieved when using Naive Bayes and RBF network respectively which suggests the capability of our proposed system to identify individuals regardless whether the persons is a twin or not. The outcome also provides complimentary mechanism to detect a person besides using the current existing methods.
format	Article
author	Mohammed Nadzr, Nur Izzati Sulaimi, Mariana Umadi, Lina Fadhilah Sidek, Khairul Azami
author_facet	Mohammed Nadzr, Nur Izzati Sulaimi, Mariana Umadi, Lina Fadhilah Sidek, Khairul Azami
author_sort	Mohammed Nadzr, Nur Izzati
title	Photoplethysmogram based biometric recognition for twins
title_short	Photoplethysmogram based biometric recognition for twins
title_full	Photoplethysmogram based biometric recognition for twins
title_fullStr	Photoplethysmogram based biometric recognition for twins
title_full_unstemmed	Photoplethysmogram based biometric recognition for twins
title_sort	photoplethysmogram based biometric recognition for twins
publisher	Indian Society for Education and Environment & Informatics Publishing Limited\|
publishDate	2016
url	http://irep.iium.edu.my/52538/ http://irep.iium.edu.my/52538/ http://irep.iium.edu.my/52538/ http://irep.iium.edu.my/52538/1/IJST_Photoplethysmogram%20Based%20Biometric%20Recognition%20for%20Twins.pdf
first_indexed	2023-09-18T21:14:25Z
last_indexed	2023-09-18T21:14:25Z
_version_	1777411467151147008

Photoplethysmogram based biometric recognition for twins

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