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Photoplethysmogram based biometric recognition for twins

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

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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.

Item Type: Article (Journal)
Additional Information: 4698/52538
Uncontrolled Keywords: Naive Bayes, Photoplethysmogram (PPG), Radial Basis Function (RBF) Network, Systolic and Diastolic
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
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Assoc Prof Dr Khairul Azami Sidek
Date Deposited: 04 Nov 2016 14:58
Last Modified: 19 Oct 2017 10:21
URI: http://irep.iium.edu.my/id/eprint/52538

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