Biometric recognition for twins inconsideration of age variability using PPG signals

Mohammed Nadzri, Nur Izzati and Sidek, Khairul Azami and Ismail, Ahmad Fadzil (2018) Biometric recognition for twins inconsideration of age variability using PPG signals. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-5). pp. 97-100. ISSN 2180-1843 E-ISSN 2289-8131

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Abstract

Recent biometric modalities involve biomedical signals such as PPG to identify individuals. This study has been motivated by this new research area using PPG signal to identify twins incorporating age variability. The proposed system is suggested to be a substitute to the current traditional methods being used widely nowadays. A total of 21 subjects were used for experimentation purposes and lowpass filter is applied to remove unwanted noise from the signal. Distinctive features are extracted from the filtered PPG signals. Later, Bayes Network (BN), Naive Bayes (NB), Radial Basis Function (RBF) and Multilayer Perceptron (MLP) were used to classify the subjects using the discriminant features. Based on the experimentation results, classification accuracies ranging from 90% to 100% were achieved by categorizing the data into six different sets which are overall dataset, Groups I, II, III, IV and V. The result provides an alternative mechanism to identify twins using PPG signals incorporating age variability besides using the traditional methods.

Item Type:	Article (Journal)
Additional Information:	4698/63235
Uncontrolled Keywords:	Bayes Network (BN),Multilayer Perceptron (MLP),Naive Bayes (NB),PPG, Radial Basis Function (RBF).
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:	16 Apr 2018 10:39
Last Modified:	18 Apr 2018 09:00
URI:	http://irep.iium.edu.my/id/eprint/63235

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