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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 3, MARCH 2016

Offline Signature Cognition and Verification Using Artificial Neural Network

Rushikesh Suryawanshi, Shantanu Kale, Rahul Pawar, Sidharatha Kadam, V. R. Ghule

DOI: 10.17148/IJARCCE.2016.5385

Abstract: The signature verification is the oldest security technique to verify the identification of person. Recently, 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, where as the online system required an online device such as Tablet PC, touch screen monitor by a pressure sensitive pen to verify the signature. Offline signature verification scheme is considered as a highly secured technique to recognize the genuine person�s identity. Project will implement offline signature verification technique using Artificial Neural Network (ANN) approach.



Keywords: ANN, Authentication, Offline Signature Verification, Neural Network.

How to Cite:

[1] Rushikesh Suryawanshi, Shantanu Kale, Rahul Pawar, Sidharatha Kadam, V. R. Ghule, “Offline Signature Cognition and Verification Using Artificial Neural Network,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5385