Copy Move Counterfeiting Identification based on CNN using Scalar Invariant Feature Technique

Since there are lot of efficient techniques for picture manipulation, their credibility is questioned, especially when they are used to support insurance claims, news stories, or judicial processes. With the quick advancements in science and technology, it is getting easier and easier to access a wealth of knowledge through various multimedia platforms. However, the authenticity and authenticity of multimedia are in danger because it is simple to alter the contents with various editing programmes. To address this issue, forensics technology is created. This study primarily focuses on examining copy move forgery blind image forensics technologies. Copy move forgeries, which often involve concealing items by flattening areas of the picture or adding elements to an existing image, are one of the most widely used methods for photo manipulation. Picture forensic procedures determine the integrity of images by utilising a variety of high-tech processes that have been found in the literature. Through this study, the photos are checked for a particular type of forgery in which a part of one picture is pasted onto another image to duplicate or conceal it.