An evaluation on offline signature verification using artificial neural network approach

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 .

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Abstract

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.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	4119/33621 (Print ISBN: 978-1-4673-6231-3, DOI: 10.1109/ICCEEE.2013.6633964)
Uncontrolled Keywords:	Offline Signature Verification, Artificial Neural Network, Preprocessing, Features extraction and Forgeries
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	31 Dec 2013 09:14
Last Modified:	30 Nov 2020 21:00
URI:	http://irep.iium.edu.my/id/eprint/33621

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