An efficient method of biometric matching using interpolated ECG data

Sidek, K, Khalil, I and Al-Shammary, D 2010, 'An efficient method of biometric matching using interpolated ECG data', in Fatimah Ibrahim (ed.) 2010 IEEE EMBS on Biomedical Engineering & Sciences (IECBES 2010), Kuala Lumpu, Malaysia, 30 November - 2 December 2010, pp. 1-6.


Document type: Conference Paper
Collection: Conference Papers

Title An efficient method of biometric matching using interpolated ECG data
Author(s) Sidek, K
Khalil, I
Al-Shammary, D
Year 2010
Conference name 2010 IEEE EMBS on Biomedical Engineering & Sciences (IECBES 2010)
Conference location Kuala Lumpu, Malaysia
Conference dates 30 November - 2 December 2010
Proceedings title 2010 IEEE EMBS on Biomedical Engineering & Sciences (IECBES 2010)
Editor(s) Fatimah Ibrahim
Publisher IEEE
Place of publication Kuala Lumpu, Malaysia
Start page 1
End page 6
Total pages 6
Abstract In this paper, a person identification method using electrocardiogram (ECG) is presented based on cubic spline interpolation method. Three different databases with two different sampling rates containing 36 ECG recordings were used for development and evaluation. Each ECG recording is divided into two segments: a segment for enrolment, and a segment for recognition. The ECG features are extracted from both the training dataset and the test dataset for model development and identification. Two ECG biometric algorithms which are Cross Correlation (CC) and Percent Root-Mean-Square Deviation (PRD) were used for performance evaluation. Results of experiments confirmed that the template matching using interpolation method achieved better accuracy (up to 4.46%) than the existing method without interpolation when using ECG data with lower sampling rate.
Subjects Biomedical Engineering not elsewhere classified
Keyword(s) ECG
biometrics
authentication mechanism
cubic spline
interpolation.
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