Performance evaluation of human identification based on ECG signal

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.

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Abstract

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

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	4119/46118
Uncontrolled Keywords:	Human Identification, ECG signal, Classification, Feature extraction.
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	28 Jan 2016 16:37
Last Modified:	17 Oct 2017 09:34
URI:	http://irep.iium.edu.my/id/eprint/46118

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