Matlab project for detecting image forgery using SIFT and SURF method

The paper presents a survey on image-forgery investigations (IFD) techniques, which has been implemented for both copy-move and splash image. This survey attempts to cover the algorithm contained in the last ten years, classifies those groups which have similar ways to solve the problems. For copy-transposed images, the classification depends on the difference in the processing of input images before or after the removal of image attributes. For illustrated images, the summary of the technique to detect based on image characteristics or camera features is summarized. Achievements, limitations and future work from these techniques have also been mentioned in terms of tilt and context for the research mentioned in this title. We are undoubtedly living in an era where we have to face an extraordinary range of visual imagery. Although we had historically believed in the integrity of this imagery, today's digital technology has started to destroy this trust. From the magazine magazines, the fashion industry and the mainstream media outlets, scientific journals, political campaigns, the dazzles and the flames of photographs, which are displayed in our e-mail in-box, with the growing frequency and sophistication of the couple's pictures in the last five years , The field of digital forensics has emerged so that some trusts can be restored to digital images. The author reviews the state of the art in this new and exciting area.