Abstract
We present in a descriptive way the first results of our study of the problem of document image tampering detection. We aim at helping the community by establishing certain guidelines in what refers to the categorization and targeting of this problem. We propose a categorization of the main types of forgeries performed by a direct manipulation of the document image. That applies to most of the cases we observed in real world forged documents according to our sources from external private companies. In addition, we describe a set of visual clues result of these tampering operations that can be addressed when developing automatic methods for its detection.
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Acknowledgments
This project has been granted by the Region Nouvelle Aquitaine and European Union supporting the project “Securdoc: développement d’un prototype de détection de fraude de document numérique” framed at the “programme opérationnel FEDER/FSE 2014–2020” (grant number P2016-BAFE-186).
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Cruz, F., Sidère, N., Coustaty, M., Poulain d’Andecy, V., Ogier, JM. (2019). Categorization of Document Image Tampering Techniques and How to Identify Them. In: Zhang, Z., Suter, D., Tian, Y., Branzan Albu, A., Sidère, N., Jair Escalante, H. (eds) Pattern Recognition and Information Forensics. ICPR 2018. Lecture Notes in Computer Science(), vol 11188. Springer, Cham. https://doi.org/10.1007/978-3-030-05792-3_11
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