eSignature Verification on Web Using Statistical Mining Approach
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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.
KeywordsCredit Card Network Channel Electronic Signature Active Rule South China Morning
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