Signature recognition using artificial neural network

Nowadays, there are many applications required the user to confirm his identity. It might be done by asking a secret question that the user will answer to get into that application, and it might be a password or a pin code, face, eye, fingerprint or signature. Automatic signature verification is an...

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Bibliographic Details
Main Authors:	Abushariah, Ahmad A. M., Gunawan, Teddy Surya, Khalifa, Othman Omran, Chebil, Jalel
Format:	Book Chapter
Language:	English
Published:	IIUM Press 2011
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/21660/ http://irep.iium.edu.my/21660/ http://irep.iium.edu.my/21660/1/Chapter_27.pdf

id	iium-21660
recordtype	eprints
spelling	iium-216602012-09-05T08:26:44Z http://irep.iium.edu.my/21660/ Signature recognition using artificial neural network Abushariah, Ahmad A. M. Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Nowadays, there are many applications required the user to confirm his identity. It might be done by asking a secret question that the user will answer to get into that application, and it might be a password or a pin code, face, eye, fingerprint or signature. Automatic signature verification is an active field of research with many practical applications. Automatic handwritten signature verification is divided into two approaches: off-line and on-line. In the off-line signature verification approach, the data of the signature is obtained from a static image utilizing a scanning device [I). For our application, off-line approach will be utilized.Neural Networks (NN) also known as Artificial Neural Networks (ANN) belong to the artificial intelligence approaches, which attempt to mechanize the recognition procedure according to the way a person applies intelligence in visualizing and analyzing[2]. Neural Networks' structure is inspired by biological models of the nervous system proposed as a model of the human brain's activities aiming to mimic certain processing capabilities of the human brain. IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21660/1/Chapter_27.pdf Abushariah, Ahmad A. M. and Gunawan, Teddy Surya and Khalifa, Othman Omran and Chebil, Jalel (2011) Signature recognition using artificial neural network. In: Human Behaviour Recognition, Identification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 255-262. ISBN 978-967-418-156-7 http://rms.research.iium.edu.my/bookstore/default.aspx
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Abushariah, Ahmad A. M. Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel Signature recognition using artificial neural network
description	Nowadays, there are many applications required the user to confirm his identity. It might be done by asking a secret question that the user will answer to get into that application, and it might be a password or a pin code, face, eye, fingerprint or signature. Automatic signature verification is an active field of research with many practical applications. Automatic handwritten signature verification is divided into two approaches: off-line and on-line. In the off-line signature verification approach, the data of the signature is obtained from a static image utilizing a scanning device [I). For our application, off-line approach will be utilized.Neural Networks (NN) also known as Artificial Neural Networks (ANN) belong to the artificial intelligence approaches, which attempt to mechanize the recognition procedure according to the way a person applies intelligence in visualizing and analyzing[2]. Neural Networks' structure is inspired by biological models of the nervous system proposed as a model of the human brain's activities aiming to mimic certain processing capabilities of the human brain.
format	Book Chapter
author	Abushariah, Ahmad A. M. Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel
author_facet	Abushariah, Ahmad A. M. Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel
author_sort	Abushariah, Ahmad A. M.
title	Signature recognition using artificial neural network
title_short	Signature recognition using artificial neural network
title_full	Signature recognition using artificial neural network
title_fullStr	Signature recognition using artificial neural network
title_full_unstemmed	Signature recognition using artificial neural network
title_sort	signature recognition using artificial neural network
publisher	IIUM Press
publishDate	2011
url	http://irep.iium.edu.my/21660/ http://irep.iium.edu.my/21660/ http://irep.iium.edu.my/21660/1/Chapter_27.pdf
first_indexed	2023-09-18T20:33:00Z
last_indexed	2023-09-18T20:33:00Z
_version_	1777408860607217664

Signature recognition using artificial neural network

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