https://github.com/kasraskari/face-recognition
face & eye recognition with OpenCV
https://github.com/kasraskari/face-recognition
eye-detection face-recognition haar-cascade jupyter-notebook opencv python
Last synced: 5 months ago
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face & eye recognition with OpenCV
- Host: GitHub
- URL: https://github.com/kasraskari/face-recognition
- Owner: KasrAskari
- Created: 2024-09-07T20:49:47.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-12-03T08:22:23.000Z (over 1 year ago)
- Last Synced: 2025-04-05T20:43:15.640Z (about 1 year ago)
- Topics: eye-detection, face-recognition, haar-cascade, jupyter-notebook, opencv, python
- Language: Jupyter Notebook
- Homepage:
- Size: 181 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Face Recognition
## Overview
This project implements **face recognition** using Python and OpenCV. It detects and recognizes human faces in real-time or from static images. The system can be adapted for applications such as security, monitoring, and access control.
## Features
- **Face Detection**: Identifies human faces in images or video streams.
- **Real-Time Recognition**: Processes video streams to recognize faces.
- **Custom Dataset**: Supports creating and training with custom datasets.
- **Integration-Ready**: Easily integrates into larger systems.
## Project Structure
```
Face-Recognition/
│
├── face_recognition.py # Main script for face detection and recognition
├── dataset/ # Folder containing images of faces for training
│ ├── person1/ # Subfolder for person1's face images
│ ├── person2/ # Subfolder for person2's face images
│ └── ...
├── models/ # Pre-trained models or saved training data
│ ├── face_model.pkl # Example model file
│ └── ...
├── utils/ # Utility scripts for preprocessing and analysis
│ └── helper_functions.py # Example utility script
└── README.md # Project documentation
```
## Technologies Used
- **Python**: Core programming language for the project.
- **OpenCV**: For image processing and computer vision.
- **Dlib/DeepFace (if applicable)**: Enhances facial recognition accuracy (if used).
## License
This project is licensed under the [MIT License](LICENSE). You are free to use, modify, and distribute this software under the terms of this license.