Copy-move　forgery　is　one　of　the　most　commonly　used　forgeries　in　digital　images,　in　which　some　regions　of　a　digital　image　is　coped　and　pasted　to　another　part　of　the　image　with　the　aim　of　concealing　certain　features　or　objects　in　the　original　images.　In　this　paper,　a　novel　copy-move　forgery　detection　scheme　in　digital　images　is　proposed.　It　treats　the　digital　images　as　high　dimensional　data　and　uses　the　intrinsic　dimension　estimation　method　first　to　segment　the　image　and　then　identify　the　copy-move　forgeries　in　the　image　regions　with　the　same　texture.　Experimental　results　show　that　the　proposed　method　is　efficient　and　robust　to　retouching　and　many　other　operations,　such　as　lossy　compression,　blurring,　filtering,　etc.　©　2012　IEEE.