An Improved Hashing Method for the Detection of Image Forgery
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 5
Abstract
Abstract: Detection of image forgery is always a crucial factor in image forensic and security applications. Usually this detection is possible with the help of local or global features of an image. We can ensure the credibility of an image with a hashing method by fusing local and global features together. So that it is possible to detect even sensitive image forgeries. Here, we are proposing an improved hashing method for the detection of Copy-move forgery detection and Spliced Image Detection.
Authors and Affiliations
Anupama K. Abraham , Rosna P. Haroon
Keywords
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- DOI 10.9790/0661-16531319
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