一种基于模糊聚类理论的文本水印算法  

A text document digital watermarking algorithm based on fuzzy clustering theory

作　　者：朱冰莲[1] 梁辉[1,2] 杨吉祥[1] 

机构地区：[1]重庆大学通信工程学院,重庆400030 [2]中国酒泉卫星发射中心,酒泉732750

出　　处：《光电子．激光》2012年第2期349-353,共5页Journal of Optoelectronics·Laser

基　　金：国家'211'工程三期建设创新人才培养经费(S-09102)资助项目

摘　　要：基于模糊聚类理论,建立了以文本文档中汉字特征为变量的聚类模型。根据人类视觉系统特性,将文本文档中汉字按照汉字笔画数、出现频率及分布均匀度作了分类,选择文本文档中汉字笔画数相对较少、使用频率较高、分布均匀度高的类别嵌入水印。实验结果表明,该算法对于内容的部分删除、添加、格式调整等攻击具有较好的鲁棒性,水印的不可见性好。This paper establishes a clustering model using Chinese characters in text document as its variable based on fuzzy clustering theory. According to human visual system, it classifies the Chinese characters in text documents by their stroke number,appearance frequency and distribution uniformity. Then it chooses the Chinese characters with less stroke number, higher frequency and higher distribution uniformity to be embedded. Experimental results demonstrate the effectiveness of the algorithm against partial deleting,adding and format adjusting of text. The algorithm has good concealment.

关 键 词：数字水印 模糊聚类 文本水印 笔画数 频率 分布均匀度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]