基于蒙面图像匹配的纸张指纹识别

Tuan Q. Pham, S. Perry, P. Fletcher
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引用次数: 9

摘要

在本文中,我们研究了使用每张纸的独特纤维结构(所谓的“纸指纹”)来验证纸媒体的问题。特别是,我们将研究在身份验证区域上打印文本时对纸质媒体进行身份验证的方法。我们展示了如何将alpha-掩模相关[Fitch05]应用于此问题,并开发了对alpha-掩模相关的修改,该修改更符合该问题的要求,并提高了性能。我们还研究了两种从认证区域中去除印刷文本或标记并允许进行普通关联的像素绘制方法。我们证明这些方法可以表现得和α掩模相关一样好。最后研究了两种提高系统抗伪造鲁棒性的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Paper Fingerprinting Using alpha-Masked Image Matching
In this paper, we examine the problem of authenticating paper media using the unique fiber structure of each piece of paper (the so-called "paper fingerprint"). In particular, we look at methods to authenticate paper media when text has been printed over the authentication zone. We show how alpha-masked correlation [Fitch05] can be applied to this problem and develop a modification to alpha-masked correlation that is more closely matched to the requirements of this problem and produces an improvement in performance. We also investigate two methods of pixel inpainting to remove printed text or marks from the authentication zone and allow ordinary correlation to be performed. We show that these methods can perform as well as alpha-masked correlation. Finally two methods of improving the robustness to forgery are investigated.
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