Online Writeprint Identification Via Multi-PRM

摘要：

　　To deal with the high dimensionality and redundancy of the online writeprint,this paper proposed an ensemble learning approach based on Multiple Probabilistic Reasoning Model.An inverse method of pseudo-random number generator is employed to construct multiple random subspaces,and then the base classifier is trained in each subspace.Finally,each classifier is aggregated to construct a strong ensemble through a combination strategy.The experiment is conducted on a real dataset,focusing on the approachs parameters,sampling rate and granularity of space dividing.The results show that the proposed method is effective and appropriate values of parameters can effectively improve the identification performance of online writeprint.

关键词： Online Writeprint Multiple Probabilistic Reasoning Model Feature Subspace Dividing

作者: Hong Zhu Zhaoli Zhang Zhi Liu

作者单位: Academy of Computer Science.Central China Normal University,Wuhan,China National Engineering Research Center for E-learning.Central China Normal University Wuhan,China National Engineering Research Center for E-learning.Central China Normal University Wuhan, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 1568-1572

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）