The paper presents results of research oriented towards an application of image processing methods into document comparisons in view of their application into plagiarism-detection systems. Among all image processing methods, the feature-point ones, thanks to their invariance to various image transforms, are best suited for computing image similarity. In the paper various combination of feature point detectors and descriptors are investigated as potential tool for finding similar images in document. The methods are tested on the database consisting of scientific papers containing 5 well known image processing test images. Also, an idea is presented in the paper how the algorithms computing the image similarity may extend the functionality of plagiarism detection systems.
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