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文章基本信息

  • 标题:Copy-Move Forgery Detection Based on Enhanced Patch-Match
  • 本地全文:下载
  • 作者:Younis Abdalla ; M. Tariq Iqbal ; M. Shehata
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2017
  • 卷号:14
  • 期号:6
  • 出版社:IJCSI Press
  • 摘要:Image forgery detection approaches are varied and serve same objectives. However, the difference in image properties causes some limitations of most of these approaches. Integrate multiple forensic approaches to increase the efficiency of detecting and localize the forgery was proposed based on the same image input source. In this paper, we propose a new detector algorithm based on different image source format. We propose approach to detect a copy-move forgery based on PatchMatch enhanced by the dense field technique. The F-measure score used same evaluation function to make the system more robust. The output result shows high efficiency of detecting and localizing the forgery in different image formats, for passive forgery detection.
  • 关键词:Copy;move detect; forgery localization; image forgery; score evaluation
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