Biometric Recognition for Twins Inconsideration of Age Variability Using PPG Signals

Authors

  • Nur Izzati Mohammed Nadzri Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, P.O. Box 10, Jalan Gombak, 50728 Kuala Lumpur.
  • Khairul Azami Sidek Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, P.O. Box 10, Jalan Gombak, 50728 Kuala Lumpur.
  • Ahmad Fadzil Ismail Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, P.O. Box 10, Jalan Gombak, 50728 Kuala Lumpur.

Keywords:

Bayes Network (BN), Multilayer Perceptron (MLP), Naïve Bayes (NB), PPG, Radial Basis Function (RBF),

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), Naïve 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.

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Published

2018-02-05

How to Cite

Mohammed Nadzri, N. I., Sidek, K. A., & Ismail, A. F. (2018). Biometric Recognition for Twins Inconsideration of Age Variability Using PPG Signals. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-5), 97–100. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3638

Issue

Vol. 10 No. 1-5: Breakthrough To Excellence in Communication and Computer Engineering II

Section

Articles

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