A Bio-Inspired Methodology for Digital Imaging Forensic Detection

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dc.contributor.authorSANTOS, G. L.
dc.contributor.authorOLIVEIRA, G. R.
dc.contributor.authorPRADO, F. F.
dc.contributor.authorSERIKAKU, R.
dc.contributor.authorSANTOS, R. M.
dc.contributor.authorLOPES, G.
dc.contributor.authorRODRIGUES, P. S.
dc.contributor.authorOrcidhttps://orcid.org/0000-0003-0873-3236
dc.contributor.authorOrcidhttps://orcid.org/0000-0003-0873-3236
dc.date.accessioned2022-01-12T21:56:14Z
dc.date.available2022-01-12T21:56:14Z
dc.date.issued2019-09-05
dc.description.abstract© 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.
dc.description.firstpage96
dc.description.lastpage102
dc.identifier.citationSANTOS, 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.
dc.identifier.doi10.1109/WVC.2019.8876915
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3711
dc.relation.ispartofProceedings - 15th Workshop of Computer Vision, WVC 2019
dc.rightsAcesso Restrito
dc.subject.otherlanguageBio-Inspired algorithm
dc.subject.otherlanguageBio-Inspired Segmentation
dc.subject.otherlanguageCopy-Move
dc.subject.otherlanguageFirefly
dc.subject.otherlanguageForgery detection
dc.subject.otherlanguageSIFT
dc.titleA Bio-Inspired Methodology for Digital Imaging Forensic Detection
dc.typeArtigo de evento
fei.scopus.citations1
fei.scopus.eid2-s2.0-85074887306
fei.scopus.subjectBio-inspired algorithms
fei.scopus.subjectCopy moves
fei.scopus.subjectFirefly
fei.scopus.subjectForgery detections
fei.scopus.subjectSIFT
fei.scopus.updated2025-01-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074887306&origin=inward
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