19 February 2014 Copy-move forgery detection from printed images
Author Affiliations +
Counterfeiting digital images through a copy-move forgery is one of the most common ways of manipulating the semantic content of a picture, whereby a portion of the image is copy-pasted elsewhere into the same image. It could happen, however, instead of a digital image only its analog version may be available. Scanned or recaptured (by a digital camera) printed documents are widely used in a number of different scenarios, for example a photo published on a newspaper or a magazine. In this paper, the problem of detecting and localizing copy-move forgeries from a printed picture is focused. The copy-move manipulation is detected by verifying the presence of duplicated patches in the scanned image by using a SIFT-based method, tailored for printed image case. Printing and scanning/recapturing scenario is quite challenging because it involves different kinds of distortions. The goal is to experimentally investigate the requirement set under which reliable copy-move forgery detection is possible. We carry out a series of experiments, to pursue all the different issues involved in this application scenario by considering diverse kinds of print and re-acquisition circumstances. Experimental results point out that forgery detection is still successful though with reduced performances, as expected.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Irene Amerini, Roberto Caldelli, Alberto Del Bimbo, Andrea Di Fuccia, Luigi Saravo, Anna Paola Rizzo, "Copy-move forgery detection from printed images", Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280Y (19 February 2014); doi: 10.1117/12.2039509; https://doi.org/10.1117/12.2039509


Forensics for flatbed scanners
Proceedings of SPIE (February 27 2007)
Quality assessment of digitized aerial photographs
Proceedings of SPIE (September 07 1998)
Cell phone camera ballistics: attacks and countermeasures
Proceedings of SPIE (January 27 2010)
Camera-based document image mosaicing using LLAH
Proceedings of SPIE (January 19 2009)
Camera identification from printed images
Proceedings of SPIE (March 18 2008)

Back to Top