Categorization of Document Image Tampering Techniques and How to Identify Them

Author:

Cruz Francisco,Sidère Nicolas,Coustaty Mickaël,Poulain d’Andecy Vincent,Ogier Jean-Marc

Publisher

Springer International Publishing

Reference9 articles.

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3. Prabhu, A.S., Shah, Z., Shah, M.: Robust detection of copy move forgeries for scanned documents using multiple methods. Int. J. Comput. Sci. Issues 9, 436 (2012)

4. Malik, M.I., et al.: Proceedings of the 2nd ICDAR International Workshop on Automated Forensic Handwriting Analysis, AFHA 2013, Washington DC, USA, 22–23 August 2013, vol. 1022 (2013)

5. Bertrand, R., Gomez-Krãmer, P., Terrades, O.R., Franco, P., Ogier, J.-M.: A system based on intrinsic features for fraudulent document detection. In: 12th International Conference on Document Analysis and Recognition, Washington, DC, United States, vol. 12, pp. 106–110 (2013)

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