Offline Signature Verification Based on Image Processing and Hu Moment

Authors

  • A.I. Abughfa Department of Electrical and Computer Engineering, AlFateh University, Tripoli, Libya
  • A.B. Elmadani Department of Computer Science, Sebha University, Sebha, Libya

Keywords:

HSVS, offline signature, verification, MSE, RMSE, Correlation Coefficient

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.

 

References

H. Kabir, “Offline Signature Verification using Local key point Features”, International Journal of Computer Applications, Vol. 1, No.27, pp. 61-70, 2010.

SM. Odeh, M. Khalil, “Off-line signature verification and recognition: Neural Network Approach”, 2011 International Symposium on Innovations in Intelligent Systems and Applications, Istanbul, pp.34-38, 2011.

J. Singh, M. Sharma, “A Survey on Offline Signature Recognition and Verification Schemes”, IOSR Journal of Electronics and Communication Engineering, Vol. 2, Issue.3, pp.34-38, 2011

N. Nourain,B. Dawoud, S. Belhaouri, J. Janier, “ Fast Template Matching Method based Optimized Sum of Absolute Difference Algorithm for Face Localization”, International Journal of Computer Application, Vol.18, no.8, pp.30-34, 2011.

A. Nichal, S. Deshpande, “A High Capacity Data Hiding Method for JPEG2000 Compression System”, International Journal of Engineering Research and Applications, Vol.2, Issue.4, pp. 751-755, 2011.

SS. Kumar, K. Aruna, “Various Methods for Edge Detection in Digital Image Processing”, International Journal of Computer Science and Technology, Vol.2, Issue.2, pp.188-190, 2011.

CW. Lam, LM. Po, CH. Cheung, “A New Cross-Diamond Search Algorithm for Fast Block Matching Motion Estimation”, IEEE International Conference on Neural Networks and Signal Processing, China, pp.1262-1265, 2014.

P. Kumar, S. Singh, A. Garg, N. Prabhat, “ Hand Written Signature Recognition & Verification using Neural Network”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.3, Issue.3, pp.44-49, 2013.

MK. Randhawa, “Off-line Signature Verification based on Hu’s Moment Invariants and Zone Features using Support Vector Machine”, International Journal of Latest Trends in Engineering and Technology, Vol.1, Issue.3, pp.16-23, 2012.

J. Coetzer, “Off-line signature verification”, Ph.D. Thesis from University of Stellenbosch, South Africa, pp.1-158, 2005.

A. McCabe, J. Trevathan, W. Read, “Neural network-based handwritten signature verification”, Journal of Computers, Vol.3, No.8, pp.9-22, 2008.

V. Kiani, R. Pourreza, HR. Pourreza, “Offline signature verification using local radon transform and support vector machines”, International Journal of Image Processing, Vol.3, No.5, pp. 184-194, 2009.

M. Radmehr, SM. Anisheh, I. Yousefian, “Offline Signature Recognition using Radon Transform”, International Journal of Computer Electrical Automation Control and Information Engineering, Vol.6, No.2, pp.264-268, 2012.

MJP. Priyadarsini, K. Murugesan, SR. Inbathini, A. Jabeena, KS. Tej, “Bank Cheque Authentication using Signature”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.3, Issue.5, pp.502-511, 2013.

M. Nijad, N. Sara, “Offline Handwritten Signature Verification System Using a Supervised Neural Network Approach”, 6th International Conference on Computer Science and Information Technology (CSIT), Jordan, pp.189-195, 2014.

KA. Vala, NP. Joshi, “A Survey on Off-line signature Recognition and Verification Schemes”, International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering, Vol.3, Issue.3, pp.7735-7740, 2014.

PV. Hatkar, BT. Salokhe, “Offline Handwritten Signature Verification Using Neural Network”, Journal of Information Knowledge and Research In electrical Engineering, Vol.3, Issue.2, pp.1-5, 2015.

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Published

2016-10-31

How to Cite

[1]
A. Abughfa and A. Elmadani, “Offline Signature Verification Based on Image Processing and Hu Moment”, Int. J. Sci. Res. Net. Sec. Comm., vol. 4, no. 5, pp. 1–7, Oct. 2016.

Issue

Section

Research Article

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