A Comparative Study Of Different Types Of Mother Wavelets For Heartbeat Biometric Verification System

Recently, advanced biometric technology is turning to the use of electrocardiograms (ECG) signal as new modality for verification system. The ECG signal contains sufficient information to verify an individual as it is unique to everyone. One of the feasible methods to extract the salient information...

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Main Author:	Lee, Jian Han
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TK1-9971 Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.usm.my/39420/1/LEE_JIAN_HAN_24_Pages.pdf
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spelling	my-usm-ep.394202019-04-12T05:25:07Z A Comparative Study Of Different Types Of Mother Wavelets For Heartbeat Biometric Verification System 2017 Lee, Jian Han TK1-9971 Electrical engineering. Electronics. Nuclear engineering Recently, advanced biometric technology is turning to the use of electrocardiograms (ECG) signal as new modality for verification system. The ECG signal contains sufficient information to verify an individual as it is unique to everyone. One of the feasible methods to extract the salient information from ECG signal for verification is by using wavelet transform. However, there is a challenge in implementing it as different types and orders of mother wavelet used will yield different verification performance. Therefore, in this study, a comparative study is done so as to investigate the optimum type and order of mother wavelet that represents the best feature for the verification system. Three different types of mother wavelets i.e. Symlet, Daubechies and Coiflet with order ranging from one to five have been studied in this research. The extracted features are then trained by using SVM classifier to generate a model to verify the features. The performance of the ECG biometric verification system is evaluated with the Receiver Operating Characteristic (ROC) plot and Equal Error Rate (EER). Experimental result showed that the developed system achieves the best performance when the 3rd order Coiflet is used as feature with an EER score of 10.755% is achieved. 2017 Thesis http://eprints.usm.my/39420/ http://eprints.usm.my/39420/1/LEE_JIAN_HAN_24_Pages.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK1-9971 Electrical engineering Electronics Nuclear engineering
spellingShingle	TK1-9971 Electrical engineering Electronics Nuclear engineering Lee, Jian Han A Comparative Study Of Different Types Of Mother Wavelets For Heartbeat Biometric Verification System
description	Recently, advanced biometric technology is turning to the use of electrocardiograms (ECG) signal as new modality for verification system. The ECG signal contains sufficient information to verify an individual as it is unique to everyone. One of the feasible methods to extract the salient information from ECG signal for verification is by using wavelet transform. However, there is a challenge in implementing it as different types and orders of mother wavelet used will yield different verification performance. Therefore, in this study, a comparative study is done so as to investigate the optimum type and order of mother wavelet that represents the best feature for the verification system. Three different types of mother wavelets i.e. Symlet, Daubechies and Coiflet with order ranging from one to five have been studied in this research. The extracted features are then trained by using SVM classifier to generate a model to verify the features. The performance of the ECG biometric verification system is evaluated with the Receiver Operating Characteristic (ROC) plot and Equal Error Rate (EER). Experimental result showed that the developed system achieves the best performance when the 3rd order Coiflet is used as feature with an EER score of 10.755% is achieved.
format	Thesis
qualification_level	Master's degree
author	Lee, Jian Han
author_facet	Lee, Jian Han
author_sort	Lee, Jian Han
title	A Comparative Study Of Different Types Of Mother Wavelets For Heartbeat Biometric Verification System
title_short	A Comparative Study Of Different Types Of Mother Wavelets For Heartbeat Biometric Verification System
title_full	A Comparative Study Of Different Types Of Mother Wavelets For Heartbeat Biometric Verification System
title_fullStr	A Comparative Study Of Different Types Of Mother Wavelets For Heartbeat Biometric Verification System
title_full_unstemmed	A Comparative Study Of Different Types Of Mother Wavelets For Heartbeat Biometric Verification System
title_sort	comparative study of different types of mother wavelets for heartbeat biometric verification system
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
publishDate	2017
url	http://eprints.usm.my/39420/1/LEE_JIAN_HAN_24_Pages.pdf
_version_	1747820752028041216

A Comparative Study Of Different Types Of Mother Wavelets For Heartbeat Biometric Verification System

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