Photoplethysmogram based biometric identification for twins incorporating gender variability

This study focuses on a Photoplethysmogram (PPG) based biometric identification for twins incorporating gender variability. To the best of our knowledge, little has been said pertaining to this research which identifies twins using PPG signals. PPG device has been widely used due to its advantages s...

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Main Authors:	Mohammed Nadzri, Nur Izzati, Sidek, Khairul Azami
Format:	Article
Language:	English English
Published:	Faculty of Electronic and Computer Engineering(FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2016
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/54389/ http://irep.iium.edu.my/54389/ http://irep.iium.edu.my/54389/1/IJTECE_Photoplethysmogram%20Based%20Biometric%20Identification%20for%20Twins%20Incorporating%20Gender%20Variability.pdf http://irep.iium.edu.my/54389/7/54389_Photoplethysmogram%20based%20biometric_Scopus.pdf

id	iium-54389
recordtype	eprints
spelling	iium-543892017-03-14T02:19:45Z http://irep.iium.edu.my/54389/ Photoplethysmogram based biometric identification for twins incorporating gender variability Mohammed Nadzri, Nur Izzati Sidek, Khairul Azami TK7885 Computer engineering This study focuses on a Photoplethysmogram (PPG) based biometric identification for twins incorporating gender variability. To the best of our knowledge, little has been said pertaining to this research which identifies twins using PPG signals. PPG device has been widely used due to its advantages such as non-invasive, low cost and small in size which makes it a convenient analytical tool. PPG signals has the capability to ensure the person to be present during the acquisition process which suggest that PPG can provide liveness detection suitable for a biometric system which is not available in other biometric modalities such as fingerprint. A total of four couple of twins which consists of four female and four male subjects in age range between twenty two to thirty years old were used to assess the feasibility of the proposed system. The acquired PPG signals were then processed to remove unwanted noise using low pass filter. After that, multiple cycles of PPG waveforms were extracted and later classified using Radial Basis Function (RBF) and Bayes Network (BN) to categorize the subjects using the discriminant features to calculate and analyze the performance of this system. The outcome also provides a complimentary mechanism to detect twins besides using the current existing methods. Faculty of Electronic and Computer Engineering(FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2016 Article PeerReviewed application/pdf en http://irep.iium.edu.my/54389/1/IJTECE_Photoplethysmogram%20Based%20Biometric%20Identification%20for%20Twins%20Incorporating%20Gender%20Variability.pdf application/pdf en http://irep.iium.edu.my/54389/7/54389_Photoplethysmogram%20based%20biometric_Scopus.pdf Mohammed Nadzri, Nur Izzati and Sidek, Khairul Azami (2016) Photoplethysmogram based biometric identification for twins incorporating gender variability. Journal of Telecommunication, Electronic and Computer Engineering, 8 (12). pp. 67-72. ISSN 2180-1843 E-ISSN 2289-8131 http://journal.utem.edu.my/index.php/jtec/article/view/1437/948
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 Photoplethysmogram based biometric identification for twins incorporating gender variability
description	This study focuses on a Photoplethysmogram (PPG) based biometric identification for twins incorporating gender variability. To the best of our knowledge, little has been said pertaining to this research which identifies twins using PPG signals. PPG device has been widely used due to its advantages such as non-invasive, low cost and small in size which makes it a convenient analytical tool. PPG signals has the capability to ensure the person to be present during the acquisition process which suggest that PPG can provide liveness detection suitable for a biometric system which is not available in other biometric modalities such as fingerprint. A total of four couple of twins which consists of four female and four male subjects in age range between twenty two to thirty years old were used to assess the feasibility of the proposed system. The acquired PPG signals were then processed to remove unwanted noise using low pass filter. After that, multiple cycles of PPG waveforms were extracted and later classified using Radial Basis Function (RBF) and Bayes Network (BN) to categorize the subjects using the discriminant features to calculate and analyze the performance of this system. The outcome also provides a complimentary mechanism to detect twins besides using the current existing methods.
format	Article
author	Mohammed Nadzri, Nur Izzati Sidek, Khairul Azami
author_facet	Mohammed Nadzri, Nur Izzati Sidek, Khairul Azami
author_sort	Mohammed Nadzri, Nur Izzati
title	Photoplethysmogram based biometric identification for twins incorporating gender variability
title_short	Photoplethysmogram based biometric identification for twins incorporating gender variability
title_full	Photoplethysmogram based biometric identification for twins incorporating gender variability
title_fullStr	Photoplethysmogram based biometric identification for twins incorporating gender variability
title_full_unstemmed	Photoplethysmogram based biometric identification for twins incorporating gender variability
title_sort	photoplethysmogram based biometric identification for twins incorporating gender variability
publisher	Faculty of Electronic and Computer Engineering(FKEKK), Universiti Teknikal Malaysia Melaka (UTeM)
publishDate	2016
url	http://irep.iium.edu.my/54389/ http://irep.iium.edu.my/54389/ http://irep.iium.edu.my/54389/1/IJTECE_Photoplethysmogram%20Based%20Biometric%20Identification%20for%20Twins%20Incorporating%20Gender%20Variability.pdf http://irep.iium.edu.my/54389/7/54389_Photoplethysmogram%20based%20biometric_Scopus.pdf
first_indexed	2023-09-18T21:16:57Z
last_indexed	2023-09-18T21:16:57Z
_version_	1777411626314498048

Photoplethysmogram based biometric identification for twins incorporating gender variability

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