A Novel Approach to Copy-Move Forgery Detection Using DPI-Based Pixel Movement Measurement

Abstract With the rise of digital document manipulation, traditional methods of forensic document examination have proven limited in detecting sophisticated forgeries, particularly in the case of copy-move forgery. This paper introduces a novel pixel-based method for detecting such forgeries by calculating the movement of artifacts within a document based on the document's resolution (DPI) and pixel shift differences. The methodology offers a precise, quantifiable approach that enhances traditional forgery detection techniques by identifying subtle digital manipulations in signatures and document elements. A case study involving the movement of an artifact within a forged digital signature highlights the effectiveness of this approach. The results indicate that this technique can significantly contribute to modern digital forensic analysis and is particularly well-suited to detecting copy-move forgery in digitally altered documents.