Source Printer Authentication for Printed Documents Based on Factor Analysis

摘要：

　　Source printer authentication for printed documents is very hard in printed documents identification.When the characters in samples and test material are completely different,the problem becomes extremely challenging.In this paper,a new method primarily based on factor analysis has been proposed to solve the problem.Concretely,we utilize bilinear model to analysis feature matrix to separate the printer factor and text factor entirely.Then,we extract text-independent printer features of the samples approximately.Finally,expectation maximization algorithms are utilized to obtain maximum after posterior probability to classify.Experimental results show that our proposed method was effective to improve the recognition rate.

关键词： Source printer authentication Factor analysis Bilinear model EM algorithm

作者: Changjun Jin Haibin Liao Youbin Chen

作者单位: School of Automation,Huazhong University of Science and Technology,Wuhan,China;Guangdong Micropatter School of Computer Science and Technology,Hubei University of Science and Technology,Xianning,China;

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 416-426

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）