User Identification in Web Mining and Iris Recognition Technology
He Pi · 2008
In order to identify the user in the Web mining, an idea, which uses the biometric recognition technology, is put forward. At the same time, an iris identification technology based on the hidden Markov model is proposed, too. The robust of iris matching can be achieved by only depending on the orientation field of the iris and less sensitive to the noise and the distortions of the iris image. By recognizing the users affirmatively, the shortcoming of the current Web architecture, the non-state property, can be overcome. By this way, the Web log can be sliced up by the user dimension. This makes the mining result can be used to fit the need of the personal requirement.