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The Evolution of Document Authentication

机译:文件认证的演变

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摘要

Authentication in the document context refers to the ability to trace the origins of a document to a given person or device used to produce it or to a given time or place it was produced. The general approach typically involves comparing physical, visual and/or linguistic properties of a questioned source to reproducible properties of a known or genuine source. The challenges lie in defining acceptable variations between authentic sources and identifying distinguishing characteristics of forgeries or unknown sources. As documents have evolved from physical objects made with primitive devices to manuscripts created by machine to content that lives only in electronic form, methods for authentication have also changed. While there has been considerable work in attempts to automate problems such as signature verification and writer identification in the image domain, and to guarantee authenticity or prove authorship in the electronic text domain, other authentication tasks have continued to rely extensively on human expertise. This talk will overview the general concept of authentication and discuss some of the novel approaches that can be used to authenticate documents and detect forgeries. While technology advances in archeology, antiquities, forensics, security and business are driving new and better ways to perform authentication, they are also enabling more realistic ways to produce counterfeits. As we continue to make progress in automating various analysis and recognition tasks, the question remains as to how well we will be able to automate these highly expert driven authentication tasks.
机译:文档上下文中的身份验证是指能够将文档的来源追溯到用于生成文档的给定人员或设备,或者追溯到文档的给定时间或位置的能力。通用方法通常涉及将可疑来源的物理,视觉和/或语言特性与已知或真实来源的可再现特性进行比较。挑战在于定义真实来源之间的可接受变化,以及识别伪造品或未知来源的区别特征。随着文档从使用原始设备制造的物理对象发展到由机器创建的手稿,再到仅以电子形式存在的内容,认证方法也发生了变化。尽管在自动化图像领域中的问题(例如签名验证和作者身份识别)以及保证电子文本领域中的真实性或证明作者身份方面进行了大量工作,但其他身份验证任务仍继续广泛依赖于人类的专业知识。本演讲将概述认证的一般概念,并讨论一些可用于认证文档和检测伪造品的新颖方法。考古学,古物,取证,安全和商业领域的技术进步推动了进行身份验证的新的更好的方法时,它们还使人们能够采用更现实的方法来制作假冒产品。随着我们在自动化各种分析和识别任务方面不断取得进展,仍然存在一个问题,即我们如何能够将这些高度专家驱动的身份验证任务自动化。

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