【摘要】 打印文档中含有可用于打印机来源认证的固有特征,固有特征的提取是打印机来源认证的关键。本文发现,文档页面存在的几何失真现象可以用于打印机取证研究。基于此,采用了投影变换几何失真模型对其进行建模。通过预处理提取特征点对集合,使用最小二乘法求解出投影变换几何失真模型参数,并利用该模型参数获得残差矩阵。由于模型的部分参数和模型的残差矩阵均包含了打印机的固有特征,通过对所选模型参数进行分类和对残差矩阵进行分析比对,最终实现文档的打印机来源认证。在包含10台打印机的实验中,本文方法对样本的分类正确率为100%。更多还原

【Abstract】 Printed document contains intrinsic features of printer,the extraction of intrinsic features is critical in printer forensics.We discover that the extracted geometric distortion features of document page can be used in printer forensics.Based on this,a projective transformation is employed to model the geometric distortion of document page.The pre-processing process is adopted to get the set of feature point pair,the least squares method is employed to estimate the parameters of the model,and the residual error matrix can be obtained through the estimated parameters.Because the partial parameters of the model and the residual error matrix both contain the intrinsic features of printer,the classification of the selected parameters and comparison of the residual error matrix can be used to link a document to a printer.The accuracy of the classification is 100% for 10 printers.更多还原