首页> 外文期刊>Journal of Imaging Science and Technology >Full Spectrum Coding: A Machine Readable Marking Method for Security Document Images
【24h】

Full Spectrum Coding: A Machine Readable Marking Method for Security Document Images

机译:全频谱编码:安全文档图像的机器可读标记方法

获取原文
获取原文并翻译 | 示例
       

摘要

A method of providing a digital image with a unique, machine readable, code image is presented. It is called "Full Spectrum," because the method uses Fourier transform techniques to embed the code in a wide range of spatial frequencies. The changes made to the original image by the encoding process are meaningless to the observer, and, by proper choice of the embedding parameters and the resolution (reproduction size) of the marked image, they can be made imperceptible. Full Spectrum has some intrinsic advantages for application to printed security structures in a document authentication and identification environment. Using its mathematical properties, the method is shown to be invariant to shifting and robust to cropping, which enables the code image to be reconstructed from a recording of the document with arbitrary position and size. Techniques to deal with possible rotation and scaling of the recorded image with respect to the (printed) original are elaborated. Finally, a general method is developed to match the reconstructed code image to the reference image (expected code image). Experiments show that the code image can survive various graphical transfer processes, such as halftone screening, printing and digitizing. An actual document containing a printed Full Spectrum structure, the Security ID, is used as a practical example.
机译:提出了一种为数字图像提供唯一的机器可读代码图像的方法。之所以称其为“全频谱”,是因为该方法使用傅立叶变换技术将代码嵌入广泛的空间频率中。通过编码过程对原始图像所做的更改对于观察者而言毫无意义,并且,通过正确选择嵌入参数和标记图像的分辨率(复制尺寸),可以使它们变得难以察觉。 Full Spectrum具有一些固有的优势,可应用于文档身份验证和标识环境中的打印安全结构。利用其数学特性,该方法显示出对转移不变且对裁剪具有鲁棒性,这使得可以从具有任意位置和大小的文档记录中重建代码图像。阐述了处理记录的图像相对于(打印的)原件可能的旋转和缩放的技术。最后,开发了一种通用方法来将重构的代码图像与参考图像(期望的代码图像)进行匹配。实验表明,代码图像可以在各种图形传输过程中幸存下来,例如半色调筛选,打印和数字化。实际示例包含一个已打印的全光谱结构(安全ID),作为一个实际示例。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号