Refinement of an online signature verification system

The dynamic signature becomes a major concern of many researchers in the field of biometric because of its ability to protect many systems from being accessed by unauthentic persons. Many researchers have used different techniques to build their systems in order to have very good results in term of...

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Main Author:	Shaglwf, Zaid Ibrahim
Format:	Thesis
Published:	2010
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-utm-ep.26957
record_format	uketd_dc
spelling	my-utm-ep.269572017-08-20T01:13:24Z Refinement of an online signature verification system 2010 Shaglwf, Zaid Ibrahim TK Electrical engineering. Electronics Nuclear engineering The dynamic signature becomes a major concern of many researchers in the field of biometric because of its ability to protect many systems from being accessed by unauthentic persons. Many researchers have used different techniques to build their systems in order to have very good results in term of efficiency and performance. This research is focused on developing a graphical user interface Gl 1 with using two different classifiers which are global and local features of the on line signature. A digital tablet is used in this research as an input device to the system to convert the dynamic signatures to some sort of raw data to be preprocessed and extracting features from it and become an input after being classified as global and local for the thresholds stage which are back propagation neural networks and time and length of the signatures and by selecting the proper thresholds for them to be finally combined into an AND operation for the final decision. In this research an investigation on the output of back propagation neural networks took a place for further fine-tuning of the system to have more satisfactory performance on one of its techniques used. Finally, the expected result can be seen through the (False Rejection Rate FRR & False Acceptance Rate FAR) These rates will indicate this software's performance in verifying signature, thus it has to be as low as possible. 2010 Thesis http://eprints.utm.my/id/eprint/26957/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Shaglwf, Zaid Ibrahim Refinement of an online signature verification system
description	The dynamic signature becomes a major concern of many researchers in the field of biometric because of its ability to protect many systems from being accessed by unauthentic persons. Many researchers have used different techniques to build their systems in order to have very good results in term of efficiency and performance. This research is focused on developing a graphical user interface Gl 1 with using two different classifiers which are global and local features of the on line signature. A digital tablet is used in this research as an input device to the system to convert the dynamic signatures to some sort of raw data to be preprocessed and extracting features from it and become an input after being classified as global and local for the thresholds stage which are back propagation neural networks and time and length of the signatures and by selecting the proper thresholds for them to be finally combined into an AND operation for the final decision. In this research an investigation on the output of back propagation neural networks took a place for further fine-tuning of the system to have more satisfactory performance on one of its techniques used. Finally, the expected result can be seen through the (False Rejection Rate FRR & False Acceptance Rate FAR) These rates will indicate this software's performance in verifying signature, thus it has to be as low as possible.
format	Thesis
qualification_level	Master's degree
author	Shaglwf, Zaid Ibrahim
author_facet	Shaglwf, Zaid Ibrahim
author_sort	Shaglwf, Zaid Ibrahim
title	Refinement of an online signature verification system
title_short	Refinement of an online signature verification system
title_full	Refinement of an online signature verification system
title_fullStr	Refinement of an online signature verification system
title_full_unstemmed	Refinement of an online signature verification system
title_sort	refinement of an online signature verification system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2010
_version_	1747815552347275264

Refinement of an online signature verification system

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