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Verifying on-line handwritten signature using neural networks approach


Siraj, Fadzilah and Zakaria, Azizi and Wan Ishak, Wan Hussain (2000) Verifying on-line handwritten signature using neural networks approach. In: Prosiding Seminar Penyelidikan UUM 2000. Pusat Penyelidikan dan Perundingan, Universiti Utara Malaysia, Sintok, pp. 298-315. ISBN 9832479010

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Abstract

Signatures are used everyday to authorize the transfer of funds for bank cheques, credit cards, legal documents and others. Forgeries on banking and business transactions amount to a large sum of money every year. Although the cashier sometimes can spot the forgeries, it is not cost effective to check the forgeries manually. Hence, automated verification is available, this will certainly benefit the customers and promote Electronic Commerce. Thus handwritten signature verification system can play an important role in future reading system (Bartneck, 1996).It is a worthy and challenging area of further investigation (Cote et, al, 1998). This paper discusses the neural network models and thus identifies suitable model for on-line Handwritten Signature Verification. Such a model is implemented and the performance of the neural network model is evaluated.

Item Type: Book Section
Uncontrolled Keywords: Digital signature, On-line handwriting signature, On-line signature verification, Electronic 3 signature, Electronic authentication, Neural networks.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: College of Arts and Sciences
Depositing User: Prof Madya Fadzilah Siraj
Date Deposited: 21 Feb 2011 05:55
Last Modified: 21 Feb 2011 05:55
URI: http://repo.uum.edu.my/id/eprint/2284

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