Abstract: A system and method for automated detection of figure element reuse. The system can receive articles or other publications from a user input or an automated input. The system then extracts images from the articles and compares them to reference images from a historical database. The comparison and detection of matches occurs via a copy-move detection algorithm implemented by a processor of the system. The processor first locates and extracts keypoints from a submission image and finds matches between those keypoints and the keypoints from a reference image using a near neighbor algorithm. The matches are clustered and the clusters are compared for keypoint matching. Matched clusters are further compared for detectable transformations. The processor may additionally implement natural language processing to filter matches based on the context of the use of the submission image in the submission and a patch detector for removing false positive features.

Abstract: A system and method for automated detection of figure element reuse. The system can receive articles or other publications from a user input or an automated input. The system then extracts images from the articles and compares them to reference images from a historical database. The comparison and detection of matches occurs via a copy-move detection algorithm implemented by a processor of the system. The processor first locates and extracts keypoints from a submission image and finds matches between those keypoints and the keypoints from a reference image using a near neighbor algorithm. The matches are clustered and the clusters are compared for keypoint matching. Matched clusters are further compared for detectable transformations. The processor may additionally implement natural language processing to filter matches based on the context of the use of the submission image in the submission and a patch detector for removing false positive features.