Content Based Image Authentication Using Local and Global Feature Extraction
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 4
Abstract
The entire content of the image can be represented with the help of a short sequence called Hash. It can also be represented using local and global feature. The methods used for extracting the local features are simple statistical data such as Mean and Standard deviation. The method used for extracting the global feature is Zernike moments. Sender generates the hash using the local and global features and attaches it with the image to be sent. The same process is repeated in the receiver side. Finally the hash generated from the sender and receiver side should be verified to examine the authenticity of the image. Then the tampered image is detected and localized the areas where the forgery takes place.
Authors and Affiliations
K. Alice, N. Ramaraj
Keywords
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