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A study on features for the detection of copy-move forgeries

dc.contributor.authorChristlein, Vincent
dc.contributor.authorRiess, Christian
dc.contributor.authorAngelopoulou, Elli
dc.contributor.editorFreiling, Felix C.
dc.date.accessioned2019-01-17T13:26:50Z
dc.date.available2019-01-17T13:26:50Z
dc.date.issued2010
dc.description.abstractBlind image forensics aims to assess image authenticity. One of the most popular families of methods from this category is the detection of copy-move forgeries. In the past years, more than 15 different algorithms have been proposed for copy-move forgery detection. So far, the efficacy of these approaches has barely been examined. In this paper, we: a) present a common pipeline for copy-move forgery detection, b) perform a comparative study on 10 proposed copy-move features and c) introduce a new benchmark database for copy-move forgery detection. Experiments show that the recently proposed Fourier-Mellin features perform outstandingly if no geometric transformations are applied to the copied region. Furthermore, our experiments strongly support the use of kd-trees for the matching of similar blocks instead of lexicographic sorting.en
dc.identifier.isbn978-3-88579-264-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19774
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSicherheit 2010. Sicherheit, Schutz und Zuverlässigkeit
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-170
dc.titleA study on features for the detection of copy-move forgeriesen
dc.typeText/Conference Paper
gi.citation.endPage116
gi.citation.publisherPlaceBonn
gi.citation.startPage105
gi.conference.date5.-7. Oktober 2010
gi.conference.locationBerlin
gi.conference.sessiontitleRegular Research Papers

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