Abstract
This research is related to the field of biometrics. The biometrics research consists of fingerprint scans, retina scans, voiceprint analyses, and so on [1]. Although an electronic signature (eSignature) does not actually come from human, it comes from an indirect tissue (i.e. handwriting) of a human. For instance, a handwritten signature will be collected from a cardholder when filling out the application form of credit card and formularized from a normal signature to an electronic signature. This eSignature will then be transmitted and stored into XML document in a data center. We will extract the eSignature that is a group of numbers from the database. This group of numbers is a factor in preceding the Online Analytical Mining (OLAM) [2]. We use the Internet as a network channel. We will also use the XML-RPC [6] to implement the active rules and apply OLAM to verify incoming eSignatures.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
E.D. Zwicky, S. Cooper, & D.B. Chapman, “Internet and Web Security — Building Internet Firewalls”, O’Reilly 2nd Edition 2000, pp 591–627.
Joseph Fong, H.K. Wong, & Anthony Fong, “Online Analytical Mining Web-Pages Tick Sequences”, Journal of Data Warehousing, Vol. 5, No. 4, Fall 2000, pp 59–68.
“The GIF Controversy: A Software Developer’s Perspective”, Last revision February 2, 2002. Web shortcut to this page: lzw.info. Parts are quoted with permission from CompuServe Information Service. Parts are excerpted from the PNG specification.
South China Morning Post, Hong Kong, March 9 2002, Page 2.
B. Erickson & F. Romano, “Professional Digital Photography”, Prentice Hall PTR, 1999, pp 54–127.
J. Fong and S.K. Cheung, “Online Analytical Mining for eSignature”, Proceedings of the IASTED International Conference — Information Systems and Databases 2002 Tokyo Japan, ACTA Press, ISBN 0-88986-362-8, ISSN 1482-793X, pp 287–292.
“XML-RPC”, UserLand Software, Inc., http://www.xmlrpc.com, 1998–2002.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Fong, J., Cheung, S.K., Kwan, I. (2003). eSignature Verification on Web Using Statistical Mining Approach. In: Zhou, X., Orlowska, M.E., Zhang, Y. (eds) Web Technologies and Applications. APWeb 2003. Lecture Notes in Computer Science, vol 2642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36901-5_30
Download citation
DOI: https://doi.org/10.1007/3-540-36901-5_30
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-02354-8
Online ISBN: 978-3-540-36901-1
eBook Packages: Springer Book Archive