eSignature verification on web using statistical mining approach

Joseph FONG, San Kuen CHEUNG, Irene KWAN

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)

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.
Original languageEnglish
Title of host publicationWeb Technologies and Applications: 5th Asia-Pacific Web Conference, APWeb 2003, Xian, China, April 2003: Proceedings
PublisherSpringer
Pages293-300
Number of pages8
Volume2642
ISBN (Print)3540023542
Publication statusPublished - 1 Jan 2003

Bibliographical note

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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    FONG, J., CHEUNG, S. K., & KWAN, I. (2003). eSignature verification on web using statistical mining approach. In Web Technologies and Applications: 5th Asia-Pacific Web Conference, APWeb 2003, Xian, China, April 2003: Proceedings (Vol. 2642, pp. 293-300). Springer.