A Novel Approach to Enhancing Identity Document Authentication with Copy-Move Forgery Detection using CNN
Author:
Affiliation:
1. PVP Siddhartha Institute of Technology,Dept. of CSE,Vijayawada,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10602772/10602732/10603169.pdf?arnumber=10603169
Reference20 articles.
1. Forgery detection algorithm based on texture features
2. Copy-Move Forgery Detection Based on Local Gabor Wavelets Patterns
3. An efficient method for image forgery detection based on trigonometric transforms and deep learning
4. Understanding digital image anti-forensics: an analytical review
5. An Evaluation of Convolutional Neural Network (CNN) Model for Copy-Move and Splicing Forgery Detection;Muniappan;International Journal of Intelligent Systems and Applications in Engineering,2023
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