Signature recognition using artificial neural network

Authors:
Deabnath Bhattacharyya;Tai-Hoon Kim
Affiliations:
Science and Engineering Research Support Center, Daejeon, Republic of Korea;Department of Multimedia Engineering, Hannam University, Daejeon, Republic of Korea
Venue:
CIMMACS '10 Proceedings of the 9th WSEAS international conference on computational intelligence, man-machine systems and cybernetics
Year:
2010

Citing 2
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Neural Networks, Fuzzy Logic and Genetic Algorithms

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Abstract

To avoid forgery and ensure the confidentiality of Information in the field of Information Technology Security an inseparable part of it. In order to deal with security, Authentication plays an important role. This paper presents a view on the signature recognition technique and we also discussed about a technology of Signature Authentication by Back-propagation Algorithm with application. The purpose of this technique is to ensure that the rendered services are accessed only by a legitimate user, and not anyone else. By using this method it is possible to confirm or establish an individual's identity. We have also outlined opinions about the usability of signature authentication systems, comparison between different techniques and their advantages and disadvantages in this paper.