This research is related to the field of biometrics. The biometrics research consists of fingerprint scans, retina scans, voiceprint analyses, and so on . 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) . We use the Internet as a network channel. We will also use the XML-RPC  to implement the active rules and apply OLAM to verify incoming eSignatures.
|Title of host publication||Web Technologies and Applications: 5th Asia-Pacific Web Conference, APWeb 2003, Xian, China, April 2003: Proceedings|
|Number of pages||8|
|Publication status||Published - 1 Jan 2003|
Bibliographical notePaper presented at the 5th Asia Pacific Web Conference, Apr 23-25, 2003, Xi'an, China. ISBN of the source publication: 3540023542
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.