Performance evaluation of human identification based on ECG signal
This Biometric identification technology has been growing over the last years with increasing demand to improve the technology and provide a better security for the society. In this paper, a biometric identification system using electrocardiogram (ECG) has been introduced and to compete with the...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/46118/ http://irep.iium.edu.my/46118/1/46118_Performance%20evaluation%20of%20human.pdf http://irep.iium.edu.my/46118/2/46118_Performance%20evaluation%20of%20human_SCOPUS.pdf |
| _version_ | 1848782910202576896 |
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| author | Amiruddin, Ainunjariah Khalifa, Othman Omran Rabih, Fadlallah Ali Fadlallah |
| author_facet | Amiruddin, Ainunjariah Khalifa, Othman Omran Rabih, Fadlallah Ali Fadlallah |
| author_sort | Amiruddin, Ainunjariah |
| building | IIUM Repository |
| collection | Online Access |
| description | This Biometric identification technology has been
growing over the last years with increasing demand to improve the
technology and provide a better security for the society. In this
paper, a biometric identification system using electrocardiogram
(ECG) has been introduced and to compete with the existing
biometric identification systems such as fingerprint, signature,
voice and face. Various studies have been conducted by previous
researchers in order to find the best procedures and techniques to
provide an ECG identification system with the lowest percentage of
error. A proposed scheme is presented in this work based on the
previous studies. It is illustrate the uniqueness of ECG signal for
each person thus it can be used to identify an individual |
| first_indexed | 2025-11-14T16:12:58Z |
| format | Proceeding Paper |
| id | iium-46118 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:12:58Z |
| publishDate | 2015 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-461182017-10-17T01:34:48Z http://irep.iium.edu.my/46118/ Performance evaluation of human identification based on ECG signal Amiruddin, Ainunjariah Khalifa, Othman Omran Rabih, Fadlallah Ali Fadlallah T10.5 Communication of technical information This Biometric identification technology has been growing over the last years with increasing demand to improve the technology and provide a better security for the society. In this paper, a biometric identification system using electrocardiogram (ECG) has been introduced and to compete with the existing biometric identification systems such as fingerprint, signature, voice and face. Various studies have been conducted by previous researchers in order to find the best procedures and techniques to provide an ECG identification system with the lowest percentage of error. A proposed scheme is presented in this work based on the previous studies. It is illustrate the uniqueness of ECG signal for each person thus it can be used to identify an individual Institute of Electrical and Electronics Engineers Inc. 2015-09 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/46118/1/46118_Performance%20evaluation%20of%20human.pdf application/pdf en http://irep.iium.edu.my/46118/2/46118_Performance%20evaluation%20of%20human_SCOPUS.pdf Amiruddin, Ainunjariah and Khalifa, Othman Omran and Rabih, Fadlallah Ali Fadlallah (2015) Performance evaluation of human identification based on ECG signal. In: 2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCCNEE 2015), 7th-9th Dec. 2015, Khartoum, Sudan. http://ieeexplore.ieee.org/document/7381417/?reload=true 10.1109/ICCNEEE.2015.7381417 |
| spellingShingle | T10.5 Communication of technical information Amiruddin, Ainunjariah Khalifa, Othman Omran Rabih, Fadlallah Ali Fadlallah Performance evaluation of human identification based on ECG signal |
| title | Performance evaluation of human identification based on ECG signal |
| title_full | Performance evaluation of human identification based on ECG signal |
| title_fullStr | Performance evaluation of human identification based on ECG signal |
| title_full_unstemmed | Performance evaluation of human identification based on ECG signal |
| title_short | Performance evaluation of human identification based on ECG signal |
| title_sort | performance evaluation of human identification based on ecg signal |
| topic | T10.5 Communication of technical information |
| url | http://irep.iium.edu.my/46118/ http://irep.iium.edu.my/46118/ http://irep.iium.edu.my/46118/ http://irep.iium.edu.my/46118/1/46118_Performance%20evaluation%20of%20human.pdf http://irep.iium.edu.my/46118/2/46118_Performance%20evaluation%20of%20human_SCOPUS.pdf |