An evaluation on offline signature verification using artificial neural network approach

An evaluation on offline signature verification using artificial neural network approach

The signature verification is the oldest security technique to verify the identification of persons. Recently, the signature recognition schemes are growing in the world of security technology. It offers two different types of schemes those are offline and online method. The offline technique means...

Full description

Bibliographic Details
Main Authors: Khalifa, Othman Omran, Alam, Md. Khorshed, Hassan Abdalla Hashim, Aisha
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/33621/
http://irep.iium.edu.my/33621/
http://irep.iium.edu.my/33621/
http://irep.iium.edu.my/33621/1/06633964.pdf
id iium-33621
recordtype eprints
spelling iium-336212017-06-13T03:51:16Z http://irep.iium.edu.my/33621/ An evaluation on offline signature verification using artificial neural network approach Khalifa, Othman Omran Alam, Md. Khorshed Hassan Abdalla Hashim, Aisha T Technology (General) The signature verification is the oldest security technique to verify the identification of persons. Recently, the signature recognition schemes are growing in the world of security technology. It offers two different types of schemes those are offline and online method. The offline technique means to verify a signature written on paper which is scanned to convert it into a digital image, whereas the online system required an online device such as Tablet PC, touch screen monitor by a pressure sensitive pen to verify the signature. This paper discusses a review of offline signature verification schemes which considered as a highly secured technique to recognize the genuine person's identity. It addresses the offline signature verification technique using Artificial Neural Network (ANN) approach. It also explains the fundamental characteristics of offline signature verification processes and highlights the comparison among various offline signature verification approaches and various signature recognition issues. 2013-08 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/33621/1/06633964.pdf Khalifa, Othman Omran and Alam, Md. Khorshed and Hassan Abdalla Hashim, Aisha (2013) An evaluation on offline signature verification using artificial neural network approach. In: 2013 International Conference on Computing, Electrical and Electronics Engineering (ICCEEE 2013), 26th-28th Aug. 2013 , Khartoum, Sudan . http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6633964&tag=1 doi:10.1109/ICCEEE.2013.6633964
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Khalifa, Othman Omran
Alam, Md. Khorshed
Hassan Abdalla Hashim, Aisha
An evaluation on offline signature verification using artificial neural network approach
description The signature verification is the oldest security technique to verify the identification of persons. Recently, the signature recognition schemes are growing in the world of security technology. It offers two different types of schemes those are offline and online method. The offline technique means to verify a signature written on paper which is scanned to convert it into a digital image, whereas the online system required an online device such as Tablet PC, touch screen monitor by a pressure sensitive pen to verify the signature. This paper discusses a review of offline signature verification schemes which considered as a highly secured technique to recognize the genuine person's identity. It addresses the offline signature verification technique using Artificial Neural Network (ANN) approach. It also explains the fundamental characteristics of offline signature verification processes and highlights the comparison among various offline signature verification approaches and various signature recognition issues.
format Conference or Workshop Item
author Khalifa, Othman Omran
Alam, Md. Khorshed
Hassan Abdalla Hashim, Aisha
author_facet Khalifa, Othman Omran
Alam, Md. Khorshed
Hassan Abdalla Hashim, Aisha
author_sort Khalifa, Othman Omran
title An evaluation on offline signature verification using artificial neural network approach
title_short An evaluation on offline signature verification using artificial neural network approach
title_full An evaluation on offline signature verification using artificial neural network approach
title_fullStr An evaluation on offline signature verification using artificial neural network approach
title_full_unstemmed An evaluation on offline signature verification using artificial neural network approach
title_sort evaluation on offline signature verification using artificial neural network approach
publishDate 2013
url http://irep.iium.edu.my/33621/
http://irep.iium.edu.my/33621/
http://irep.iium.edu.my/33621/
http://irep.iium.edu.my/33621/1/06633964.pdf
first_indexed 2023-09-18T20:48:35Z
last_indexed 2023-09-18T20:48:35Z
_version_ 1777409841949573120

Similar Items