Staff View: Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani

Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani

A person signature has many potential to be duplicated. The high risk of signature duplication happen nowadays that involve with high value of financial transaction. By using manual detection it is difficult to verify because of the similarity of duplication. Therefore, these problems need a mechan...

Full description

Saved in:

Bibliographic Details
Main Author:	Abdul Ghani, Mohd Hafiz Hilmi
Format:	Thesis
Language:	English
Published:	2012
Subjects:	T Technology (General) Information technology. Information systems
Online Access:	http://ir.uitm.edu.my/id/eprint/30042/1/TD_MOHD%20HAFIZ%20ABDUL%20GHANI%20CS%20T%2012_5.pdf http://ir.uitm.edu.my/id/eprint/30042/
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.uitm.ir.30042
record_format	eprints
spelling	my.uitm.ir.300422020-04-30T14:02:46Z http://ir.uitm.edu.my/id/eprint/30042/ Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani Abdul Ghani, Mohd Hafiz Hilmi T Technology (General) Information technology. Information systems A person signature has many potential to be duplicated. The high risk of signature duplication happen nowadays that involve with high value of financial transaction. By using manual detection it is difficult to verify because of the similarity of duplication. Therefore, these problems need a mechanism that is capable to detect and protect their assets from being harmed and exploited by attackers. This project focuses on signature verification using Artificial Neural Network algorithm. The objective of this project is to develop a signature verification prototype system using Artificial Neural Network technique that is capable to verify whether the signature belongs to the same person or not.This project is using an offline method where the signature needs to be scanned first before entering the next phase in order to verify the signature. As a result of this project, the system successfully verifies the signature based on the Neural Network algorithm. It is hoped that this project will give benefits to other researcher in order to continue the same research in the same field 2012 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/30042/1/TD_MOHD%20HAFIZ%20ABDUL%20GHANI%20CS%20T%2012_5.pdf Abdul Ghani, Mohd Hafiz Hilmi (2012) Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani. Degree thesis, Universiti Teknologi MARA,Terengganu.
institution	Universiti Teknologi Mara
building	Tun Abdul Razak Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Mara
content_source	UiTM Institutional Repository
url_provider	http://ir.uitm.edu.my/
language	English
topic	T Technology (General) Information technology. Information systems
spellingShingle	T Technology (General) Information technology. Information systems Abdul Ghani, Mohd Hafiz Hilmi Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani
description	A person signature has many potential to be duplicated. The high risk of signature duplication happen nowadays that involve with high value of financial transaction. By using manual detection it is difficult to verify because of the similarity of duplication. Therefore, these problems need a mechanism that is capable to detect and protect their assets from being harmed and exploited by attackers. This project focuses on signature verification using Artificial Neural Network algorithm. The objective of this project is to develop a signature verification prototype system using Artificial Neural Network technique that is capable to verify whether the signature belongs to the same person or not.This project is using an offline method where the signature needs to be scanned first before entering the next phase in order to verify the signature. As a result of this project, the system successfully verifies the signature based on the Neural Network algorithm. It is hoped that this project will give benefits to other researcher in order to continue the same research in the same field
format	Thesis
author	Abdul Ghani, Mohd Hafiz Hilmi
author_facet	Abdul Ghani, Mohd Hafiz Hilmi
author_sort	Abdul Ghani, Mohd Hafiz Hilmi
title	Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani
title_short	Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani
title_full	Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani
title_fullStr	Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani
title_full_unstemmed	Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani
title_sort	offline signature verification using artificial neural network / mohd hafiz hilmi abdul ghani
publishDate	2012
url	http://ir.uitm.edu.my/id/eprint/30042/1/TD_MOHD%20HAFIZ%20ABDUL%20GHANI%20CS%20T%2012_5.pdf http://ir.uitm.edu.my/id/eprint/30042/
_version_	1685650602577625088
score	13.211869

Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani

Similar Items