SANTOS, G. L.OLIVEIRA, G. R.PRADO, F. F.SERIKAKU, R.SANTOS, R. M.LOPES, G.RODRIGUES, P. S.2022-01-122022-01-122019-09-05SANTOS, G. L.; OLIVEIRA, G. R.; PRADO, F. F.; SERIKAKU, R.; SANTOS, R. M.; LOPES, G.; RODRIGUES, P. S. A Bio-Inspired Methodology for Digital Imaging Forensic Detection. Proceedings - 15th Workshop of Computer Vision, WVC 2019, p. 96-102, sept. 2019.https://repositorio.fei.edu.br/handle/FEI/3711© 2019 IEEE.The increasing number of digital media users, as well as the development of multimedia platforms, such as smartphones and tablets, has also increased the number of users who professionally and fraudulently manipulate all types of digital media. This paper proposes a methodology based on an image processing pipeline to detect mainly copy-move type frauds, which are intended to hide or enlarge visual information. Our proposal has been tested in a Copy-Move Forgery database and the results were equal or better in performance than the state-of-art methods.Acesso RestritoArtigo de evento10.1109/WVC.2019.8876915Bio-Inspired algorithmBio-Inspired SegmentationCopy-MoveFireflyForgery detectionSIFT