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This project implements a car license plate recognition system using SIFT (Scale-Invariant Feature Transform) descriptors with Python's OpenCV library. The user interface is built with Java Swing framework. The software allows users to register license plates in a database and then input an image for recognition .

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imadeddinedjekoune/Car-Number-Plate-Recognition

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Car-Number-Plate-Recognition

Demo

Watch the video

Table of Contents

Introduction

Welcome to the Car License Plate Recognition project! This software is designed to recognize car license plates from input images using the SIFT descriptor. The user-friendly interface allows you to register license plates, input images, and fine-tune recognition parameters.

Getting Started

  1. Registration:

    • Launch the application.
    • Register license plates into the database.
  2. Recognition:

    • Provide an input image.
    • The program will apply the SIFT descriptor to match car plates in the database.
    • Recognized plates will be displayed.
  3. Parameter Adjustment:

    • Explore and adjust SIFT descriptor parameters for better recognition.

Contributing

We welcome contributions to improve this project. To contribute:

  • Report issues or suggest enhancements through the GitHub issue tracker.
  • Fork the repository and submit pull requests with your contributions.

Please adhere to our code of conduct and maintain a respectful and inclusive environment for all contributors.

Contact:

If you have any questions or need further assistance, feel free to contact me at imaddjekoune@gmail.com.

License

This project is licensed under the MIT License - see the LICENSE file for details.

About

This project implements a car license plate recognition system using SIFT (Scale-Invariant Feature Transform) descriptors with Python's OpenCV library. The user interface is built with Java Swing framework. The software allows users to register license plates in a database and then input an image for recognition .

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