Biometric identification for twins using photoplethysmogram signals

This paper focuses on the photoplethysmogram (PPG) based biometric identification for twins as a substitute to the traditional methods being used nowadays. There are many researches and studies about twin recognition where some of them showed positive results. However, PPG based biometric identi...

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Main Authors:	Mohammed Nadzr, Nur Izzati, Sidek, Khairul Azami, Mohd Nor, Rizal
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2017
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/55927/ http://irep.iium.edu.my/55927/ http://irep.iium.edu.my/55927/ http://irep.iium.edu.my/55927/2/55927.pdf http://irep.iium.edu.my/55927/3/55927-Biometric%20identification%20for%20twins%20using%20photoplethysmogram%20signals_SCOPUS.pdf

id	iium-55927
recordtype	eprints
spelling	iium-559272018-03-13T01:45:51Z http://irep.iium.edu.my/55927/ Biometric identification for twins using photoplethysmogram signals Mohammed Nadzr, Nur Izzati Sidek, Khairul Azami Mohd Nor, Rizal TK7885 Computer engineering This paper focuses on the photoplethysmogram (PPG) based biometric identification for twins as a substitute to the traditional methods being used nowadays. There are many researches and studies about twin recognition where some of them showed positive results. However, PPG based biometric identification for twins is under-researched. Therefore, this issue will be the main focus of our study. A total of nine subjects were used for experimentation purposes. A lowpass filter is used to remove unwanted portion of the signal. Unique features are extracted from these filtered PPG signals. Later, Naïve Bayes (NB), Radial Basis Function (RBF) and Multilayer Perceptron (MLP) are used to classify the subjects using the discriminant features. Based on the experimentation results, classification accuracies of 95.4%, 94.4% and 88.9% were obtained when using NB, RBF and MLP respectively. The result provides an alternative mechanism to detect a person besides using the traditional methods. IEEE 2017-01-16 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/55927/2/55927.pdf application/pdf en http://irep.iium.edu.my/55927/3/55927-Biometric%20identification%20for%20twins%20using%20photoplethysmogram%20signals_SCOPUS.pdf Mohammed Nadzr, Nur Izzati and Sidek, Khairul Azami and Mohd Nor, Rizal (2017) Biometric identification for twins using photoplethysmogram signals. In: 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M), 2016, 22nd-24th November 2016, Jakarta, Indonesia. http://ieeexplore.ieee.org/document/7814924/ 10.1109/ICT4M.2016.071
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 Nadzr, Nur Izzati Sidek, Khairul Azami Mohd Nor, Rizal Biometric identification for twins using photoplethysmogram signals
description	This paper focuses on the photoplethysmogram (PPG) based biometric identification for twins as a substitute to the traditional methods being used nowadays. There are many researches and studies about twin recognition where some of them showed positive results. However, PPG based biometric identification for twins is under-researched. Therefore, this issue will be the main focus of our study. A total of nine subjects were used for experimentation purposes. A lowpass filter is used to remove unwanted portion of the signal. Unique features are extracted from these filtered PPG signals. Later, Naïve Bayes (NB), Radial Basis Function (RBF) and Multilayer Perceptron (MLP) are used to classify the subjects using the discriminant features. Based on the experimentation results, classification accuracies of 95.4%, 94.4% and 88.9% were obtained when using NB, RBF and MLP respectively. The result provides an alternative mechanism to detect a person besides using the traditional methods.
format	Conference or Workshop Item
author	Mohammed Nadzr, Nur Izzati Sidek, Khairul Azami Mohd Nor, Rizal
author_facet	Mohammed Nadzr, Nur Izzati Sidek, Khairul Azami Mohd Nor, Rizal
author_sort	Mohammed Nadzr, Nur Izzati
title	Biometric identification for twins using photoplethysmogram signals
title_short	Biometric identification for twins using photoplethysmogram signals
title_full	Biometric identification for twins using photoplethysmogram signals
title_fullStr	Biometric identification for twins using photoplethysmogram signals
title_full_unstemmed	Biometric identification for twins using photoplethysmogram signals
title_sort	biometric identification for twins using photoplethysmogram signals
publisher	IEEE
publishDate	2017
url	http://irep.iium.edu.my/55927/ http://irep.iium.edu.my/55927/ http://irep.iium.edu.my/55927/ http://irep.iium.edu.my/55927/2/55927.pdf http://irep.iium.edu.my/55927/3/55927-Biometric%20identification%20for%20twins%20using%20photoplethysmogram%20signals_SCOPUS.pdf
first_indexed	2023-09-18T21:18:55Z
last_indexed	2023-09-18T21:18:55Z
_version_	1777411749448777728

Biometric identification for twins using photoplethysmogram signals

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