https://github.com/zouari-oss/racognition
Racognition is a high-performance face recognition system built using Python (or C++), designed to provide accurate and real-time facial identification and verification.
https://github.com/zouari-oss/racognition
cpp opencv oss python
Last synced: 4 months ago
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Racognition is a high-performance face recognition system built using Python (or C++), designed to provide accurate and real-time facial identification and verification.
- Host: GitHub
- URL: https://github.com/zouari-oss/racognition
- Owner: zouari-oss
- License: gpl-3.0
- Created: 2025-04-21T23:02:49.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-23T00:42:31.000Z (about 1 year ago)
- Last Synced: 2026-01-29T22:58:36.267Z (5 months ago)
- Topics: cpp, opencv, oss, python
- Language: C++
- Homepage: https://www.linkedin.com/in/zouari-omar
- Size: 1.03 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
- Authors: AUTHORS
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Racognition
Racognition is a high-performance face recognition system built using Python (or C++), designed to provide accurate and real-time facial identification and verification. Leveraging cutting-edge computer vision and machine learning techniques, Racognition can detect, analyze, and recognize faces from static images or live video streams. Whether for security, automation, or personalization, Racognition offers a scalable and efficient solution adaptable to various applications.
Key Features •
How To Use •
Download •
Screenshots •
Credits •
Related •
License
## Key Features
- 👁️ Face Detection with Haar Cascade: Utilizes OpenCV's Haar Cascade Classifier for efficient and reliable face detection in both images and video streams.
- 🧠 Face Recognition with LBPH: Implements the Local Binary Patterns Histograms (LBPH) algorithm for face recognition—known for its simplicity, speed, and accuracy in various lighting conditions.
- 🎥 Real-Time Recognition: Supports live video input via webcam or camera feed, allowing for real-time face detection and recognition.
- 📷 Image & Video Compatibility: Capable of processing both static images and video files for facial analysis.
- 🛠️ Built with OpenCV: Entirely developed using the OpenCV library, making it lightweight and highly compatible across platforms.
- 🧑🏫 Training Interface: Includes functionality to train the system with new faces, enabling custom datasets and personalized recognition.
- 🗃️ Data Management: Stores trained data and face samples for easy updates, backups, and reusability.
- 🔐 Ideal for Access Control: Can be integrated into security systems for identity verification, attendance tracking, or restricted access applications.
## How To Use
To clone and run this application, you'll need [Git](https://git-scm.com), [C++](https://isocpp.org), [Python](https://www.python.org) and [Qt6](https://www.qt.io) installed on your computer. From your command line:
```bash
git clone https://github.com/ZouariOmar/Racognition # Clone this repository
cd Racognition # Go into the repository
```
For C++
```bash
cd C++ # Go to `C++` directory
chmod u+x run.sh # Make `run.sh` executable
./run.sh build --root # Build project from the root
./run.sh run # Run the project (See main.cpp)
```
For Python
```bash
cd Python # Go to `Python` directory
python -m venv .venv # Make a virtual environment
source ./venv/bin/active # Active the virtual environment
pip3 install -r requirements.txt # Install project requirements
python face_recognise.py # Run the project (or choose another .py file)
```
## Download
You can [download](https://github.com/ZouariOmar/Racognition/releases) the latest installable version of Racognition for macOS and Linux.
## Screenshots
## Emailware
Racognition is an [emailware](https://en.wiktionary.org/wiki/emailware). Meaning, if you liked using this app or it has helped you in any way, I'd like you to send me an email at about anything you'd want to say about this software. I'd really appreciate it!
## Credits
This software uses the following open source packages:
- [Qt6](https://www.qt.io)
- [CMake](https://cmake.org)
- [OpenCV (cv2)](https://opencv.org)
- [Python](https://www.python.org)
- [Arduino](https://www.arduino.cc)
## Related
- [QRME](https://github.com/ZouariOmar/QRME) - A QR code generator app
- [Tic Tac Toe](https://github.com/ZouariOmar/Tic-Tac-Toe) - A classic game built with SDL and C++
## License
MIT
---
> Linkedin [Zouari Omar](https://www.linkedin.com/in/zouari-omar-143239283) ·
> GitHub [@ZouariOmar](https://github.com/ZouariOmar) ·