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Plagiarism has become a major concern in the scholarly publishing world, and checking submitted text against article databases has become a routine practice for many publishers. However, identifying plagiarized images is more complicated, and not done. This webinar will discuss an approach we developed to compare submitted images against an image bank identifying those that are not just identical, but “similar”. We will discuss the types of alterations that need to be considered, and how to build a process fast enough to compare images on a large scale.