Robust Detection of copy move forgeries for scanned documents using multiple methods
Cybercrime and forgeries are growing at an alarming rate. There are a lot of places on the web that store scanned documents for future use. These documents are prone to damage and tampering. Misuse of such documents can turn out to be very dangerous. This paper proposes an easy way of detecting modifications made in scanned documents. The algorithm used for this purpose is a very simple pixel detection program.
Keywords: Forgery, Copy Move Detection, Block Based Detection, Feature Based Detection, Pixel Overlapping, Block Comparison, Border Pixels, Pixel Count
Download Full-Text
ABOUT THE AUTHORS
Anirudh Srivijaya Prabhu
Anirudh Prabhu is a student from St. Francis Institute of Technology, Mumbai. He is currently pursuing a Bachelor’s Degree in Computer Engineering. His area of interest lies in Human Computer Interaction and its Applications.
Zil Shah
Zil Shah is also from St. Francis Institute of Technology, Mumbai. His area of interest is Computer Visualization.
Manan Shah
Manan Shah is studying in St. Francis Institute of Technology, Mumbai. His area of interest is Game Development.
Anirudh Srivijaya Prabhu
Anirudh Prabhu is a student from St. Francis Institute of Technology, Mumbai. He is currently pursuing a Bachelor’s Degree in Computer Engineering. His area of interest lies in Human Computer Interaction and its Applications.
Zil Shah
Zil Shah is also from St. Francis Institute of Technology, Mumbai. His area of interest is Computer Visualization.
Manan Shah
Manan Shah is studying in St. Francis Institute of Technology, Mumbai. His area of interest is Game Development.
