Non-English and Non-Latin Signature Verification Systems: A Survey

There are no files associated with this record.

Title Non-English and Non-Latin Signature Verification Systems: A Survey
Author Pal, Srikanta; Blumenstein, Michael Myer; Pal, Umapada
Publication Title Proceedings of the 1st International Workshop on Automated Forensic Handwriting Analysis: A Satellite Workshop of ICDAR-2011
Editor Marcus Liwicki, Michael Blumenstein, Bryan Found, Elisa van den Heuvel, Charles Berger,Reinoud Stoel
Year Published 2011
Place of publication Germany
Publisher CEUR
Abstract Signatures continue to be an important biometric because they remain widely used as a means of personal verification and therefore an automatic verification system is needed. Manual signature-based authentication of a large number of documents is a 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 unique physical characteristics (e.g. hand geometry, iris scan, finger prints or DNA) or behavioural features. Substantial research has been undertaken in the field of signature verification involving English signatures, but to the best of our knowledge, very few works have considered non-English signatures such as Chinese, Japanese, Arabic etc. In order to convey the state-of-the-art in the field to researchers, in this paper we present a survey of non-English and non-Latin signature verification systems.
Peer Reviewed Yes
Published Yes
Publisher URI
Alternative URI
ISBN 1613-0073
Conference name First International Workshop on Automated Forensic Handwriting Analysis (AFHA 2011)
Location Beijing, China.
Date From 2011-09-17
Date To 2011-09-18
Date Accessioned 2012-03-20; 2012-04-30T22:30:49Z
Date Available 2012-04-30T22:30:49Z
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 - Refereed)
Publication Type Code e1

Brief Record

Griffith University copyright notice