A Python-based Sign Forgery Detection System that uses image processing techniques to analyze and detect forged signatures.
This project was created as part of my journey in learning Python and OpenCV, focusing on real-world applications of computer vision.
- 📄 Upload and compare signatures
- 🧠 Image analysis using OpenCV
- 🔍 Detects possible forgery based on similarity metrics
- 💾 Stores signature records for future reference
- 🎨 Simple UI (can be extended using Flask or Tkinter)
- ⚙️ Modular and easy-to-understand Python codebase
| Category | Technologies Used |
|---|---|
| Language | Python |
| Libraries | OpenCV, NumPy, os, Pillow (optional) |
| Framework (optional) | Flask (for web-based version) |
| IDE / Environment | VS Code / Jupyter / PyCharm |
Follow these steps to run the project locally 👇
- Clone the repository
git clone https://github.com/Scriptkiddie8/Sign-Forgery.git