Biometric identification for twins using photoplethysmogram signals
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 identi...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2017
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/55927/ http://irep.iium.edu.my/55927/ http://irep.iium.edu.my/55927/ http://irep.iium.edu.my/55927/2/55927.pdf http://irep.iium.edu.my/55927/3/55927-Biometric%20identification%20for%20twins%20using%20photoplethysmogram%20signals_SCOPUS.pdf |
| Summary: | 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. |
|---|