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...

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Bibliographic Details
Main Author: Abdul Ghani, Mohd Hafiz Hilmi
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/30042/1/TD_MOHD%20HAFIZ%20ABDUL%20GHANI%20CS%20T%2012_5.pdf
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author Abdul Ghani, Mohd Hafiz Hilmi
author_facet Abdul Ghani, Mohd Hafiz Hilmi
author_sort Abdul Ghani, Mohd Hafiz Hilmi
collection UITM
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
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spelling oai:ir.uitm.edu.my:300422020-04-30T14:02:46Z https://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 https://ir.uitm.edu.my/id/eprint/30042/1/TD_MOHD%20HAFIZ%20ABDUL%20GHANI%20CS%20T%2012_5.pdf Offline signature verification using artificial neural network / Mohd Hafiz Hilmi Abdul Ghani. (2012) Degree thesis, thesis, Universiti Teknologi MARA,Terengganu.
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
title 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_short 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
topic T Technology (General)
Information technology. Information systems
url https://ir.uitm.edu.my/id/eprint/30042/1/TD_MOHD%20HAFIZ%20ABDUL%20GHANI%20CS%20T%2012_5.pdf
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