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 exi...
| Main Authors: | , , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
2015
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/47811/ http://irep.iium.edu.my/47811/1/268_Othman_Khalifa_PID3861145.pdf http://irep.iium.edu.my/47811/2/IEEE_Sudan.pdf |
| _version_ | 1848783204936318976 |
|---|---|
| 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 | 2025-11-14T16:17:39Z |
| format | Proceeding Paper |
| id | iium-47811 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:17:39Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-478112016-01-29T01:36:09Z http://irep.iium.edu.my/47811/ Human identification based on ECG signal Amiruddin, Ainunjariah Khalifa, Othman Omran Rabih, Fadlallah Ali Fadlallah T Technology (General) TK Electrical engineering. Electronics Nuclear engineering 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. 2015-09-07 Proceeding Paper NonPeerReviewed application/pdf en http://irep.iium.edu.my/47811/1/268_Othman_Khalifa_PID3861145.pdf application/pdf en http://irep.iium.edu.my/47811/2/IEEE_Sudan.pdf Amiruddin, Ainunjariah and Khalifa, Othman Omran and Rabih, Fadlallah Ali Fadlallah (2015) 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. (Unpublished) http://www.iccneee15.org/ |
| spellingShingle | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Amiruddin, Ainunjariah Khalifa, Othman Omran Rabih, Fadlallah Ali Fadlallah Human identification based on ECG signal |
| title | Human identification based on ECG signal |
| title_full | Human identification based on ECG signal |
| title_fullStr | Human identification based on ECG signal |
| title_full_unstemmed | Human identification based on ECG signal |
| title_short | Human identification based on ECG signal |
| title_sort | human identification based on ecg signal |
| topic | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://irep.iium.edu.my/47811/ http://irep.iium.edu.my/47811/ http://irep.iium.edu.my/47811/1/268_Othman_Khalifa_PID3861145.pdf http://irep.iium.edu.my/47811/2/IEEE_Sudan.pdf |