On feature extraction using gabor filter and feature relation graph for offline signature verification

The most important and difficult stage of each offline signature verification system is feature extraction stage. The performance of the system mainly depends on effectiveness of the feature extraction algorithm. Current methods in this domain make use of different feature extraction and classificat...

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Main Author:	Jamali, Saeed
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/32328/1/SaeedJamaliMFSKSM2012.pdf
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id	my-utm-ep.32328
record_format	uketd_dc
spelling	my-utm-ep.323282018-04-27T01:20:19Z On feature extraction using gabor filter and feature relation graph for offline signature verification 2012-05 Jamali, Saeed TK Electrical engineering. Electronics Nuclear engineering The most important and difficult stage of each offline signature verification system is feature extraction stage. The performance of the system mainly depends on effectiveness of the feature extraction algorithm. Current methods in this domain make use of different feature extraction and classifications approaches like Radon Transform, VQ, Gabor filter, SVM, KNN, MD, and etc. However, accuracy is still the main issue in this field. The final aim of this study is to implement an offline signature verification system to verify the originality of the test signature images and distinguish the skilled and random forgery from genuine. This project combines Gabor filter, XGabor filter, and gravity center point as a novel feature extraction algorithm and uses FRG (Feature Relation Graph) classifier for classification phase. The proposed system is validated using GDPS signature database, where it achieved equal error rate of 7.66% which is outperformed the latest works in this field. 2012-05 Thesis http://eprints.utm.my/id/eprint/32328/ http://eprints.utm.my/id/eprint/32328/1/SaeedJamaliMFSKSM2012.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69100?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Jamali, Saeed On feature extraction using gabor filter and feature relation graph for offline signature verification
description	The most important and difficult stage of each offline signature verification system is feature extraction stage. The performance of the system mainly depends on effectiveness of the feature extraction algorithm. Current methods in this domain make use of different feature extraction and classifications approaches like Radon Transform, VQ, Gabor filter, SVM, KNN, MD, and etc. However, accuracy is still the main issue in this field. The final aim of this study is to implement an offline signature verification system to verify the originality of the test signature images and distinguish the skilled and random forgery from genuine. This project combines Gabor filter, XGabor filter, and gravity center point as a novel feature extraction algorithm and uses FRG (Feature Relation Graph) classifier for classification phase. The proposed system is validated using GDPS signature database, where it achieved equal error rate of 7.66% which is outperformed the latest works in this field.
format	Thesis
qualification_level	Master's degree
author	Jamali, Saeed
author_facet	Jamali, Saeed
author_sort	Jamali, Saeed
title	On feature extraction using gabor filter and feature relation graph for offline signature verification
title_short	On feature extraction using gabor filter and feature relation graph for offline signature verification
title_full	On feature extraction using gabor filter and feature relation graph for offline signature verification
title_fullStr	On feature extraction using gabor filter and feature relation graph for offline signature verification
title_full_unstemmed	On feature extraction using gabor filter and feature relation graph for offline signature verification
title_sort	on feature extraction using gabor filter and feature relation graph for offline signature verification
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2012
url	http://eprints.utm.my/id/eprint/32328/1/SaeedJamaliMFSKSM2012.pdf
_version_	1747815976212103168

On feature extraction using gabor filter and feature relation graph for offline signature verification

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