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A dataset for forgery detection and spotting in document images

机译:用于伪造检测和发现文档图像中的数据集

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In the last decades, the explosion of the volume of digital document images, and the development of consumer tools to modify these images, has lead to a huge increase on reported fraudulent document cases. This situation has promoted the development of automatic methods for both preventing forgeries in modified documents and detecting them. However, document forensics is a sensitive topic. Data is usually either private or unlabeled, and most of the reported works are commonly evaluated on datasets with a restricted access. In this paper we present a new public dataset made of a corpus of 477 corrupted payslips in which near 6000 characters were forged. Provided with a reliable groundtruth, we expect this dataset to be useful for many works in the digital forensics research domain.
机译:在过去的几十年中,数字文档图像的数量激增,以及用于修改这些图像的消费者工具的开发,导致报告的欺诈性文档案件的数量大大增加。这种情况促进了自动方法的发展,该方法既可以防止修改的文档中的伪造也可以对其进行检测。但是,文件取证是一个敏感的话题。数据通常是私有的或未标记的,大多数报告的作品通常是在访问受限的数据集上进行评估的。在本文中,我们提出了一个新的公共数据集,该数据集由477个损坏的工资单构成,其中伪造了将近6000个字符。有了可靠的依据,我们希望该数据集可用于数字取证研究领域中的许多作品。

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