Human authentication based on ECG waves using radon transform

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Hegde, C. and Prabhu, H.R. and Sagar, D.S. and Shenoy, P.D. and Venugopal, K.R. and Patnaik, L.M. (2010) Human authentication based on ECG waves using radon transform. In: Security Technology, Disaster Recovery and Business Continuity. Communications in Computer and Information Science, 122 CC . Springer Berlin Heidelberg, Jeju Island, pp. 197-206. ISBN 978-3-642-17610-4

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Official URL: https://doi.org/10.1007/978-3-642-17610-4_22

Abstract

Automated security is one of the major concerns of modern times. Secure and reliable authentication systems are in great demand. A biometric trait like electrocardiogram (ECG) of a person is unique and secure. In this paper, we propose a human authentication system based on ECG waves considering a plotted ECG wave signal as an image. The Radon Transform is applied on the preprocessed ECG image to get a radon image consisting of projections for θ varying from 0° to 180°. The pairwise distance between the columns of Radon image is computed to get a feature vector. Correlation Coefficient between feature vector stored in the database and that of input image is computed to check the authenticity of a person. Then the confusion matrix is generated to find False Acceptance Ratio (FAR) and False Rejection Ratio (FRR). This methodology of authentication is tested on ECG wave data set of 105 individuals taken from Physionet QT Database. The proposed authentication system is found to have FAR of about 3.19 and FRR of about 0.128. The overall accuracy of the system is found to be 99.85. © 2010 Springer-Verlag.

Item Type: Book Section
Additional Information: cited By 1; Conference of 2010 International Conferences on Security Technology, SecTech 2010 and Disaster Recovery and Business Continuity, DRBC 2010, Held as Part of the 2nd International Mega-Conference on Future Generation Information Technology, FGIT 2010 ; Conference Date: 13 December 2010 Through 15 December 2010; Conference Code:83304
Uncontrolled Keywords: FAR; FRR; Pairwise Distance; Pre-processing; Radon Transform, Authentication; Biometrics; Electrocardiography; Electrochromic devices; Information technology; Mathematical transformations; Radon, Security of data
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Mr. Kirana Kumar D
Date Deposited: 14 Mar 2016 09:25
Last Modified: 14 Mar 2016 09:25
URI: http://eprints-bangaloreuniversity.in/id/eprint/2052

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