Detection of Copy-Scale-Move Forgery in Digital Images Using SFOP and MROGH

• 作者: Hongli Zhang Mahmoud Emam Qi Han
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: Image FORENSICS Copy-move FORGERY DETECTION SCALE invariant feature RANSAC MROGH DESCRIPTOR
• 年，卷（期）: 2016,（1）
• 页码范围: 83-85
• 页数: 3页
• 分类号: C5

摘要

Social network platforms such as Twitter, Instagram and Facebook are one of the fastest and most convenient means for sharing digital images. Digital images are generally accepted as credible news but, it may undergo some manipulations before being shared without leaving any obvious traces of tampering; due to existence of the powerful image editing softwares. Copy-move forgery technique is a very simple and common type of image forgery, where a part of the image is copied and then pasted in the same image to replicate or hide some parts from the image. In this paper, we proposed a copy-scale-move forgery detection method based on Scale Invariant Feature Operator (SFOP) detector. The keypoints are then described using MROGH descriptor. Experimental results show that the proposed method is able to locate and detect the forgery even if under some geometric transformations such as scaling.