An Approach for Digital Image Forgery Detection

An Approach for Digital Image Forgery Detection

Pooja Bhole1, Yash Pandey2, Vikash Gautam3, Vrushabh Mowade4, Sanika Telang5, Sujal Bhagat6

1Assistant Professor, Department of Artificial Intelligence, G H Raisoni Institute of Engineering and Technology, Nagpur, India

2,3,4,5,6 UG Students, Department of Artificial Intelligence, G H Raisoni Institute of Engineering and Technology, Nagpur, India

Abstract

Image forgery detection is an important area of research in digital forensics, as it helps to ensure the authenticity and integrity of digital images. With the increment of digital image manipulation, it has become increasingly important to develop methods and techniques for detecting image forgery. Researchers have developed a range of approaches, including analyzing image metadata, detecting inconsistencies in image content, and using machine learning algorithms to recognize patterns of manipulation. Image forgery detection is used in various fields such as social media monitoring journalism, law enforcement, and forensic investigation. This paper provides an overview of the importance of image forgery detection and the various methods used to detect it.

Keywords: forgery, splicing, copy-move, retouching, dependent, independent approach