Dr. Konstantin B. Bulatov Profile

Dr. Konstantin B. Bulatov

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Proceedings Article | 3 April 2024 Paper

Copy-move document image forgery detection and localization based on JPEG clues

A. Chuiko, K. Bulatov, D. Tropin

Proceedings Volume 13072, 130720K (2024) https://doi.org/10.1117/12.3023365

KEYWORDS: Quantization, Image compression, Digital imaging, Counterfeit detection, Image quality, Histograms

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The amount of image forgery strongly increases recently. There are different ways to fake an image, one of the common ones is a copy-move manipulation. There are numerous methods for detecting copy-move manipulations on natural images. However, they are difficult to adapt for document images due to their features. This work proposes an algorithm for detecting and localizing copy-move manipulations on digital images of documents. The main idea is to use JPEG artifacts in order to find the target region area and then localize the source and target regions precisely. For the efficient application of the proposed method, firstly, the original image must have been subjected to JPEG compression, and secondly, after the manipulation the image must have been saved in a lossless format. The experiments were carried out on an open set of document images CMID; in the detection task, the recall was 0.992, the specificity was 1.0; in the localization task, the recall was 0.923, the false discovery rate was 0.021, which means that the proposed algorithm successfully detects more than 99% of copy-move manipulations, similar to manipulations in the CMID and does not give false positives.

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