Digital Signature Forgery Detection using Image Processing
In social media nowadays the main source of shared information is digital images. It’s crucial to identify these forgery images because malicious software can forge such images for fake information. A deep learning model is used to detect forgery in digital images and differentiate between compressed image or original image, to provide an input to the pre-trained model after removing its classifier and add a fine new tuned classifier. This project propose an approach to enhance digital forgery image detection using deep learning techniques via transfer learning.
Software Requirements :-
- Operating System: Win 7 or more
- Programming Language: Python
- Graphical User Interface: Tkinter
Hardware Requirement:-
- Processor-i3
- Hard disk-5GB
- Memory-2GB RAM
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