基于在线手写签名特征的非盲水印  

Non-blind watermarking based on on-line handwriting signature features

作　　者：佘智[1] 郑建彬[1] 詹恩奇[1] 

机构地区：[1]武汉理工大学信息工程学院,武汉430070

出　　处：《计算机应用研究》2010年第5期1905-1907,共3页Application Research of Computers

摘　　要：结合电子公文的应用背景,提出了一种在图像中嵌入在线手写签名特征,来验证发送方身份的算法。该算法利用人眼视觉特点,将签名信息自适应地嵌入到载体图像中。鉴于签名特征水印较传统的图像水印对鲁棒性的要求更高,该算法将签名特征信息重复嵌入,以减少水印提取时可能出现的偏差。实验证明,该算法既具有良好的不可见性,又具有很强的抗图像攻击能力,达到了设计的根本目的。Combined with the electronic documents system, this paper proposed a new method in to verify the sender’s identity by embedding on-line handwriting signature features indiscernibly into a image. According to human vision system, embeded the algorithm the on-line handwriting signature adaptively into an image .In view of the watermarking based on signature features demanding a higher robustness than traditional watermarking, embeded the algorithm the on-line handwriting signature features repeatedly so that the errors could be reduced in the process of watermarking extraction. Experiments show that this algorithm has good invisibility and strong anti-attack capability; it achieves the ultimate goal of the design.

关 键 词：在线手写签名 非盲水印 人眼视觉模型 鲁棒性 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]