Offline Signature Verification Based on Image Processing and Hu Moment

A.I. Abughfa¹ , A.B. Elmadani²

¹ Department of Electrical and Computer Engineering, AlFateh University, Tripoli, Libya.
² Department of Computer Science, Sebha University, Sebha, Libya .

Correspondence should be addressed to: elmadan@yahoo.com.

Section:Research Paper, Product Type: Journal
Vol.4 , Issue.5 , pp.1-7, Oct-2016

Online published on Oct 31, 2016

Copyright © A.I. Abughfa, A.B. Elmadani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In nowadays society e-business and e-commerce getting strong day to day in an open systems. Forgery is also getting rampant. Therefore a need of an automatic handwritten signature verification system (HSVS) becomes necessary to avoid unauthorized use of resources. One solution is to use a technological biometrics. Biometrics enables true identification or verification of an individual from their physical or behavioural (handwrite signature) characteristics based on their nature. This paper presents a signature authentication system based on using a digital image to authenticate signatures offline.

Key-Words / Index Term :
HSVS, offline signature, verification, MSE, RMSE, Correlation Coefficient

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