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Simple and efficient multibiometric technique for subject recognition using multilead electrocardiogram signal

Sidek, Khairul Azami and M. Shobaki, Mohammed and Khalil, Ibrahim and Khan, Sheroz and Alam, A. H. M. Zahirul and Abd Malik, Noreha (2013) Simple and efficient multibiometric technique for subject recognition using multilead electrocardiogram signal. In: IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 26-27 Nov 2013, Kuala Lumpur Malaysia.

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Abstract

In this paper, a simple and effective multibiometric technique for subject recognition using multiple lead electrocardiogram (ECG) signals is presented. The proposed technique significantly improves the recognition performance of a biometric system by using multiple sources available in the same modality group. A total of 30 subjects with 12 lead ECG measurements obtained from PTB Diagnostic ECG database (PTBDB) with sampling rate of 1000 Hz were used to verify the approach. Normalization plays an important role in the identification stage as it uniquely matches between ECG signals from bipolar limb leads and also the supplementary augmented unipolar limb leads. Based on the experimentation results, self-similarities are prominent and distinct from one person to another by obtaining high correlation values and relatively good classification accuracies ranging from 93% to 100% for all the leads. This result also suggests the robustness, reliability and stability of the proposed method for multibiometric system.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: 4698/35233
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Assoc Prof Dr Khairul Azami Sidek
Date Deposited: 06 Feb 2014 08:50
Last Modified: 24 May 2018 15:48
URI: http://irep.iium.edu.my/id/eprint/35233

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