Photoplethysmogram Based Biometric Identification Incorporating Different Age and Gender Group

Authors

  • Siti Nurfarah Ain Mohd Azam Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, 53100 Jalan Gombak, Kuala Lumpur, Malaysia.
  • Khairul Azami Sidek Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, 53100 Jalan Gombak, Kuala Lumpur, Malaysia.
  • Ahmad Fadzil Ismail Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, 53100 Jalan Gombak, Kuala Lumpur, Malaysia.

Keywords:

Acceleraton Plethysmogram, Biometric, BioSignal, Photopletysmogram,

Abstract

Biometric is the authentication and identification of a person by measuring or estimating their physiological characteristics. First generation biometric such as fingerprint, signature and voice have drawback and easily can be duplicated which lead to serious identity theft crime. Therefore, second generation of biometric was introduced by using bio-signal. This study evaluates the possibility of applying PPG as biometric identification system incorporating different age, gender group, and time variability. A total of 36 subjects were involved in this study consists of 18 males and 18 females for age difference and gender analysis. The PPG signals were taken in resting state by using pulse oximeter. The PPG signal was differentiated twice in order to form APG signal. These signals then undergo preprocessing and the segmentation process was done by using MATLAB. The highest peaks from the signal was used as reference point to determine the appropriate distance for one cycle of both signal. Then, the signals were classified by four commonly used classifiers which are Bayes Network, Naïve Bayes, Multilayer Perceptron, and Radial Basis Function. The outcome from this study suggested the accuracy up to 100% for different age group, 91.11% for female subjects and 95% for male subjects.

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Published

2018-02-05

How to Cite

Mohd Azam, S. N. A., Sidek, K. A., & Ismail, A. F. (2018). Photoplethysmogram Based Biometric Identification Incorporating Different Age and Gender Group. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-5), 101–108. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3639

Issue

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

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Articles

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