Python Application for an Iris Recognition System using OpenCV. The project aims to create a database system and iris analyzer for fast fast and accurate iris recognition. See for more, https://github.com/elymsyr/iris-recognition.
Project description
Iris Recognition System
This project is an iris recognition system (See original project.) to analyze and recognize iris images. It includes functionality for feature extraction, comparison of iris features, and performance improvements for various scenarios, including suboptimal camera conditions. The project has been updated to run on Python 3.9.x and includes functionality to save iris data to a database. There are also plans to develop a dynamic system with a GUI or mobile app for real-time use.
Table of Contents
Development
- Improved Iris Analysis: Improving analyze speed and extraction of features from iris images and creating a dictionary for recognition.
- Performance Improvements: Enhancements for recognition performance and speed, especially under suboptimal camera conditions.
- Database Integration: Save and retrieve iris data using a database.
- Optimization for fast query.
- Future Developments: Plans to create a GUI or mobile app for dynamic and in real-time use.
Installation
For latest release:
pip install iris_recognition_system
or
1. Clone the repository:
git clone https://github.com/elymsyr/iris-recognition.git
cd iris-recognition
1. Create a virtual environment:
conda create -n venv_name python=3.9
1. Install the required dependencies:
pip install -r requirements.txt
Usage
See iris_recognition.py.
Contributing
Contributions are welcome! Please submit a pull request with your changes or improvements. Ensure that you follow the project's coding standards and provide relevant documentation. See the CONTRIBUTING file for details.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Contact
For questions or further information, please contact [orhun868@gmail.com].
Project details
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