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: | , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2017
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848784651475222528 |
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| author | Mohammed Nadzr, Nur Izzati Sidek, Khairul Azami Mohd Nor, Rizal |
| author_facet | Mohammed Nadzr, Nur Izzati Sidek, Khairul Azami Mohd Nor, Rizal |
| author_sort | Mohammed Nadzr, Nur Izzati |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T16:40:38Z |
| format | Proceeding Paper |
| id | iium-55927 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:40:38Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-559272018-03-13T01:45:51Z http://irep.iium.edu.my/55927/ Biometric identification for twins using photoplethysmogram signals Mohammed Nadzr, Nur Izzati Sidek, Khairul Azami Mohd Nor, Rizal TK7885 Computer engineering 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. IEEE 2017-01-16 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/55927/2/55927.pdf application/pdf en http://irep.iium.edu.my/55927/3/55927-Biometric%20identification%20for%20twins%20using%20photoplethysmogram%20signals_SCOPUS.pdf Mohammed Nadzr, Nur Izzati and Sidek, Khairul Azami and Mohd Nor, Rizal (2017) Biometric identification for twins using photoplethysmogram signals. In: 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M), 2016, 22nd-24th November 2016, Jakarta, Indonesia. http://ieeexplore.ieee.org/document/7814924/ 10.1109/ICT4M.2016.071 |
| spellingShingle | TK7885 Computer engineering Mohammed Nadzr, Nur Izzati Sidek, Khairul Azami Mohd Nor, Rizal Biometric identification for twins using photoplethysmogram signals |
| title | Biometric identification for twins using photoplethysmogram signals |
| title_full | Biometric identification for twins using photoplethysmogram signals |
| title_fullStr | Biometric identification for twins using photoplethysmogram signals |
| title_full_unstemmed | Biometric identification for twins using photoplethysmogram signals |
| title_short | Biometric identification for twins using photoplethysmogram signals |
| title_sort | biometric identification for twins using photoplethysmogram signals |
| topic | TK7885 Computer engineering |
| url | 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 |