A copy-move image forgery generally refers to copying a portion of an image and re-inserting it elsewhere in the same image, with the intent of hiding undesirable contents or duplicating particular objects of interest. This thesis concerns the detection of copy-move tampering operations in text documents (e.g., scans of certificates).
The objective is to implement a software framework for the detection of copy-move text forgeries following the approach in Abramova and Böhme (2016). This thesis should focus on the analysis and detection of copy-move operations in text-free, background areas of an image. It is closely related to the other thesis that concerns the analysis of text (content) areas. Both theses require an integration of Optical Character Recognition (OCR) into the processing pipeline.