• NAYANA SHREE N
• SUDHA M S
• NANDITHA R
• NEHA RANA
• KAVYA S

Regarding with the development of digital picture processing software and editing tools has made it remarkably easy to exploit digital images. So, the need for reliable image falsification detection has turned into paramount. Trust me! Such detection is essential in various fields, including forgery investigations and legal proceedings. Pixel-based image falsification detection aims to authenticate, like, digital images without any earlier grasp of the original image. So, like, image tampering can take multiple forms, such as splicing, copy-move, and resampling, which is like resizing, rotating, stretching, and the addition or removal of objects or whatever. In this paper. We will explore various pixel-based techniques primarily focused on copy-move and bind detection.

Digital forensics, copy-move forgery, duplication forgery detection, forgery detection.

"REVIEW: FORGERY DETECTION IN IMAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.g198-g204, February-2024, Available :http://www.jetir.org/papers/JETIR2402625.pdf

"REVIEW: FORGERY DETECTION IN IMAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppg198-g204, February-2024, Available at : http://www.jetir.org/papers/JETIR2402625.pdf