Abstract
Every industry that uses digital photos is concerned about image security. Forensics and public safety have long relied on suspect photos, crime scene photos, biometric photos, and other images. As digital imaging has advanced, the use of digital images iun this field has grown significantly. While digital image processing has helped to develop many new approaches in forensic research, it has also simplified image manipulation. The public availability of various snipping image manipulation software has made digital image validity a problem. It's used as strong evidence in a variety of crimes, as well as documentation for a variety of reasons. The advancement of photo processing and editing software has simplified and made it more accessible to create and modify photographs. The most common types of picture forgery are copy-move forgery and splicing images. To conceal or display an error scenario, a portion of a photograph is duplicated and pasted further in the photograph, and splicing an image means two images in one image. This research looks at different types of digital image forgeries as well as forgery detection software. A review of existing approaches for detecting faked images was conducted.
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