Sub-surface characterisation of latest-generation identification documents using optical coherence tomography
Sub-surface characterisation of latest-generation identification documents using optical coherence tomography
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DOI：
10.1016/j.scijus.2020.12.001
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发表时间：
2021-03-15
影响因子：
1.9
通讯作者：
Podoleanu, Adrian
中科院分区：
文献类型：
--
作者：
Marques, Manuel J.;Green, Robert;Podoleanu, Adrian
个人的身份识别，特别是在国际边境过境点，加上身份证件的日益复杂，是当局必须应对的问题。特别是，具有高吞吐量、灵敏度和选择性的区分合法文档和伪造文档的能力是一个不断发展的挑战。在过去十年中，当局在身份证件中引入了越来越多的安全功能。最新一代的旅行证件（如护照和国民身份证）不再使用纸质基材，而是使用几层聚碳酸酯，从而使安全功能嵌入到证件中。这些安全特性可能包含表面和次表面级别的信息，从而增加文档的防伪能力。随着文件变得越来越难以伪造，伪造检测也变得越来越复杂。似乎有一个未满足和不断发展的需求，以一种非破坏性的、高吞吐量的方式来识别这种复杂的伪造品。在这篇文章中，我们报告了光学相干断层扫描（OCT）成像在评估护照样本和国民身份证安全特征方面的应用。OCT允许半透明结构的亚表面成像，非破坏性地实现嵌入式安全特征的定量可视化。
The identification of individuals, particularly at international border crossings, coupled with the evolving sophistication of identity documents are issues that authorities must contend with. Particularly, the ability to distinguish legitimate from counterfeit documents, with high throughput, sensitivity, and selectivity is an ever evolving challenge.Over the last decade, an increasing number of security features have been introduced by authorities in identification documents. The latest generation of travel documents (such as passports and national ID cards) forego paper substrates for several layers of polycarbonate, allowing security features to be embedded within the documents. These security features may contain information at either the superficial and sub-surface levels, thus increasing the document's resilience to counterfeiting.As the documents become harder to forge, so does the sophistication of forgery detection. There appears to be an unmet and evolving need to identify such sophisticated forgeries, in a non-destructive, high throughput manner. In this publication, we report on the application of optical coherence tomography (OCT) imaging on assessing security features in specimen passports and national ID cards. OCT allows sub-surface imaging of translucent structures, non-destructively enabling quantitative visualisation of embedded security features.