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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(4): 477-481 ISSN: 2010-3697
DOI: 10.7763/IJMO.2012.V2.166

Off-line Signature Verification based on Angular Features

Prashanth C. R. and K. B. Raja

Abstract—Signature is widely used as a means of personal verification which emphasizes the need for a signature verification system. In this paper, Off-line Signature Verification based on Angular Features (OSVAF) is proposed. The scanned signature image is skeletonized and exact signature area is obtained by preprocessing. In the first phase, the signature is divided into 128 blocks using the center of signature by counting the number of black pixels and the angular feature in each block is determined to generate 128 angular features. In the second phase the signature is divided into 40 blocks from each of the four corners of the signature to generate 40 angular features. Totally 168 angular features are considered from phase one and two to verify the signature. The difference between the angular features of the genuine and test signatures is computed and compared with the threshold value to authenticate the signature. It is observed that the proposed algorithm has better FAR, FRR and EER compared to the existing algorithms.

Index Terms—Angular features, biometrics, centre of signature, image splitting, off-line signature verification.

Prashanth C. R. is with Department of Electronics and Communication Engineering, Vemana Institute of Technology, Bangalore-560034, India. (e-mail: prashanthcr_ujjani@yahoo.com).
K. B. Raja is with the Department of Studies in Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore-560001, India (e-mail: raja_kb@yahoo.com).


Cite: Prashanth C. R. and K. B. Raja, "Off-line Signature Verification based on Angular Features," International Journal of Modeling and Optimization vol. 2, no. 4, pp. 477-481, 2012.

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