Projects in Awesome Lists tagged with forgery-detection
A curated list of projects in awesome lists tagged with forgery-detection .
https://github.com/esimov/forensic
Copy-move image forgery detection library.
computer-vision dct digital-signal-processing forgery-detection golang image-forensics image-processing
Last synced: 17 Mar 2025
https://github.com/wenbihan/coverage
Copy-Move forgery database with similar but Genuine objects. ICIP2016 paper
benchmarking copy-move forgery-detection image-forensics image-processing
Last synced: 02 Mar 2026
https://github.com/neelanjan00/image-forgery-detection
A deep convolutional neural network for the detection as well as localization of the area of manipulation in forged images, bearing forgeries of simple as well as complex nature. Further along, the trained model is interfaced with a web application for users to interact with the model in a simple and effective manner, and finally, we also develop a chatbot for further easing the process of interaction with the model and effectively tackling the problem of fake news forwards in popular internet messaging platforms such as WhatsApp.
chatbot computer-vision deep-learning flask forgery-detection tensorflow
Last synced: 11 Oct 2025
https://github.com/nvinayvarma189/digital-image-processing
The assignments and projects on Digital Image Processing
academic-project digital-image-processing feature-matching forgery-detection image-forensics image-procesing opencv pillow scikit-image sift sift-descriptors
Last synced: 20 Mar 2025
https://github.com/shivamgupta92/imageforgerydetection
Employing Error Level Analysis (ELA) and Edge Detection techniques, this project aims to identify potential image forgery by analyzing discrepancies in error levels and abrupt intensity changes within images.
deep-neural-networks densenet121 error-level-analysis forgery-detection jpeg-compression-technique
Last synced: 18 Sep 2025
https://github.com/sanu0711/forgery-detection-signature-verification
This project aims to develop a signature verification system using transfer learning techniques in deep learning. The system utilizes a pre-trained convolutional neural network (CNN) model, ResNet50, and fine-tunes it on a dataset of signatures to achieve user-independent verification.
deep-learning django docker docker-compose forgery-detection keras-layer keras-tensorflow matplotlib pillow python3 shutil signature-verification tenserflow
Last synced: 11 Jun 2025
