Biometric identification for twins using photoplethysmogram signals

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	4698/55927
Uncontrolled Keywords:	PPG, Naïve Bayes, Radial Basis Function and Multilayer Perceptron.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Assoc Prof Dr Khairul Azami Sidek
Date Deposited:	07 Mar 2017 15:26
Last Modified:	13 Mar 2018 09:45
URI:	http://irep.iium.edu.my/id/eprint/55927

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