Automatic Off-line Signature Verification Systems: A Review

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Title Automatic Off-line Signature Verification Systems: A Review
Author Pal, Srikanta; Blumenstein, Michael Myer; Pal, Umapada
Journal Name IJCA Proceedings
Year Published 2011
Place of publication USA
Publisher Foundation of Computer Science
Abstract The use of biometric technologies for human identity verification is growing rapidly in civilized society and showing its advancement towards the usability of biometrics for security. Off-line signature verification is considered as a behavioral characteristic based biometric trait in the field of security and the prevention of fraud. So, offline signatures are extensively used as a means of personal verification and identification. Manual signature-based authentication of a large number of documents is a very difficult and time consuming task. Consequently for many years, in the field of protected communication and financial applications, we have observed an explosive growth in biometric personal authentication systems that are closely connected with measurable physical unique characteristics (hand geometry, iris scan, finger prints or DNA).. Human signatures also provide secure means for confirmation and authorization in legal documents. So nowadays, automatic signature verification becomes an essential component. In order to convey the state-of-the-art in the field to researchers, in this paper we present a survey of off-line signature verification systems.
Peer Reviewed No
Published Yes
Alternative URI http://www.ijcaonline.org/proceedings/icwet/number14/2169-is329
Copyright Statement Copyright 2011 International Journal of Computer Applications. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Volume 14
Page from 20
Page to 27
ISSN 0975-8887
Date Accessioned 2012-03-20
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Image Processing; Pattern Recognition and Data Mining
URI http://hdl.handle.net/10072/44689
Publication Type Non Refereed Journal Articles
Publication Type Code c2

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