SMART DIGITAL IMAGE AUTHENTICATION: ROBUST COPY-MOVE FORGERY DETECTION TECHNIQUES

Abstract

With the rapid proliferation of digital images, ensuring the authenticity and integrity of visual content has become a critical concern. Copy-move forgery is one of the most common manipulation techniques, where a portion of an image is duplicated and pasted elsewhere within the same image to conceal or alter information. This paper presents a robust image forensic framework for detecting copy-move forgery in digital images. The proposed system employs advanced feature extraction and matching techniques to identify duplicated regions accurately, even under geometric transformations, noise, and compression artifacts. Experimental results demonstrate high detection accuracy and reliability, highlighting the system’s effectiveness in securing digital images against tampering