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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/54389/1/IJTECE_Photoplethysmogram%20Based%20Biometric%20Identification%20for%20Twins%20Incorporating%20Gender%20Variability.pdf
http://irep.iium.edu.my/54389/7/54389_Photoplethysmogram%20based%20biometric_Scopus.pdf
http://irep.iium.edu.my/54389/
http://journal.utem.edu.my/index.php/jtec/article/view/1437/948
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spelling my.iium.irep.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 REM 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 http://journal.utem.edu.my/index.php/jtec/article/view/1437/948
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 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/54389/1/IJTECE_Photoplethysmogram%20Based%20Biometric%20Identification%20for%20Twins%20Incorporating%20Gender%20Variability.pdf
http://irep.iium.edu.my/54389/7/54389_Photoplethysmogram%20based%20biometric_Scopus.pdf
http://irep.iium.edu.my/54389/
http://journal.utem.edu.my/index.php/jtec/article/view/1437/948
_version_ 1643614542058487808
score 13.211869

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