Off-Line Signature Verification Systems: A Survey

File Size Format
77275_1.pdf 172Kb Adobe PDF View
Title Off-Line Signature Verification Systems: A Survey
Author Pal, Srikanta; Blumenstein, Michael Myer; Pal, U
Publication Title Proceedings of the 11th International Conference and Workshop in Emerging Trends in Technology
Editor B. K. Mishra
Year Published 2011
Place of publication United States
Publisher ACM
Abstract Signatures are extensively used as a means of personal verification. 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) or behavioural features. Human signatures 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://dx.doi.org/10.1145/1980022.1980163
Copyright Statement Copyright ACM, 2011. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceeding: ICWET '11 Proceedings of the International Conference & Workshop on Emerging Trends in Technology, ISBN: 978-1-4503-0449-8, http://dx.doi.org/10.1145/1980022.1980163
ISBN 978-1-4503-0449-8
Conference name 11th International Conference and Workshop in Emerging Trends in Technology (ICWET 2011)
Location Mumbai, India
Date From 2011-02-25
Date To 2011-02-26
URI http://hdl.handle.net/10072/44743
Date Accessioned 2012-03-21; 2012-05-01T23:26:21Z
Date Available 2012-05-01T23:26:21Z
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Image Processing; Pattern Recognition and Data Mining
Publication Type Conference Publications (Full Written Paper - Non-Refereed)
Publication Type Code e2

Brief Record

Griffith University copyright notice