Deep Learning-Based Image Forgery Detection System
This project presents an image forgery detection system using deep learning to identify manipulated or tampered digital images. It analyzes image features to detect copy-move and image splicing attacks, improving the reliability of digital evidence. The system supports digital forensics by providing accurate image authenticity verification using advanced neural network techniques.
Project ID: 0699
Sub domains: Information Forensics and Security
Domain: Python
Project Year: 2026
Keywords: Deep Learning Image Forgery Detection Digital Forensics Image Processing CNN Cyber Security
Project Cost : ₹6500
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