HIGHLIGHTS
- who: J. S. Sujin from the Department of Electronics and Communication Engineering, Sri Krishna College of Technology, Coimbatore, India have published the research: Copy-Move Geometric Tampering Estimation Through Enhanced SIFT Detector Method, in the Journal: (JOURNAL)
- what: The authors propose to use a novel enhanced Scale-invariant feature transform (SIFT) called as RootSIFT combined with the similarity measures to mark the tampered areas in the image. The research of Yong Yew Yeap and colleagues focuses on passive forgery detection on altered photos using the copy move approach, often known as (CMFD) Copy Move Forgery . . .
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