Title

eSignature verification on web using statistical mining approach

Document Type

Conference paper

Source Publication

Web Technologies and Applications: 5th Asia-Pacific Web Conference, APWeb 2003, Xian, China, April 2003: Proceedings

Publication Date

1-1-2003

Volume

2642

First Page

293

Last Page

300

Publisher

Springer

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.

Print ISSN

03029743

Publisher Statement

Copyright © Springer-Verlag Berlin Heidelberg 2003.

Additional Information

Paper presented at the 5th Asia Pacific Web Conference, Apr 23-25, 2003, Xi'an, China.

ISBN of the source publication: 3540023542

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