Robust Copy Move Image Forgery Detection using Scale Invariant Features Transform

Abstract

a day's digital images are widely used as compared to analog images because of several advantages of digital data. Images are used as the information source, evidence in court, diagnosis problem in bio-medical and in various other applications. For the last few years, tampering of images become easier with manipulated software like adobe Photoshop .In this paper the problem of detecting copy-move image forensic is investigated and attention has been paid about which area of an image is copied and pasted onto another zone to create a duplication of an image. To detect this kind of tampering, methodology based on scale invariant features transform (SIFT) is used. Such a method allows both to understand if a copy-move attack has occurred but some time when two similar objects are present during the photography SIFT can't distinguish between them because SIFT are robust to illumination. But in this paper pixel intensity values are also used in forgery detection