Online Analytical Mining for eSignature

J. Fong and S.K. Cheung (PRC)


: Biometrics Research, eSignature, Online Analytical Mining, Meta-data Frame, Neural Network


In our research, it is in connection with the field of biometrics. The biometrics research consists of fingerprint scans, retina scans, voiceprint analyses, and so on.[1] A handprint signature will be collected from a cardholder when filling out the application form and formularized to an electronic signature. This eSignature will then be transmitted and stored into meta-data frames of data warehouse. We will extract the eSignature that is a group of numbers from the warehouse. This group of numbers is the factor in proceeding the Online Analytical Mining (OLAM) [2]. In our case study, we use the Internet as a network channel. We will use the technique of online analytical mining to justify the eSignature. Our neural network system in the card center will learn a sample eSignature and make a decision on a tested eSignature whether it is correct or not. Once the tested eSignature is examined by the system, this eSignature will become a record on our system. We will store it for next evaluation of a tested eSignature in case of failure of a first round test with the initial eSignature. The second round test will be up with the latest eSignature with positive result.

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