Image Forgery Detection using Convolutional Neural Network.
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 digtal forgery image detection using deep learning techniques via transfer learning.
Image Forgery Detection using Deep Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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