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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
http://eprints.utm.my/id/eprint/32328/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69100?site_name=Restricted Repository
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spelling my.utm.323282018-04-27T01:20:19Z http://eprints.utm.my/id/eprint/32328/ On feature extraction using gabor filter and feature relation graph for offline signature verification 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/32328/1/SaeedJamaliMFSKSM2012.pdf Jamali, Saeed (2012) On feature extraction using gabor filter and feature relation graph for offline signature verification. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69100?site_name=Restricted Repository
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2012
url http://eprints.utm.my/id/eprint/32328/1/SaeedJamaliMFSKSM2012.pdf
http://eprints.utm.my/id/eprint/32328/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69100?site_name=Restricted Repository
_version_ 1643649007256338432
score 13.211869

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