A dataset for forgery detection and spotting in document images
2017 Seventh International Conference on Emerging Security Technologies (EST)(2017)
摘要
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.
更多查看译文
关键词
forgery detection,digital document images,digital forensics,forgery spotting
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络