摘要： 提出引入生物信息技术解决Web挖掘中的用户识别问题的设想及基于隐马尔科夫模型的虹膜识别方法，该方法仅需要虹膜的方向域作为输入参数，对虹膜图像的噪声与扭曲并不敏感，从而使该方法具有鲁棒性的特点。通过准确识别用户，克服了现有Web体系无状态的缺陷，可以实现对Web日志数据按“用户维”进行切片，使挖掘出的结果能够满足对用户个性化使用的需求。

关键词: 隐马尔科夫模型, 虹膜识别, 用户识别, Web 挖掘

Abstract: 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.

Key words: hidden Markov model, iris recognition, user identification, Web mining

中图分类号: 

• TP393