https://github.com/manjunatha432/license-plate-ocr
This project develops a license plate recognition system using YOLOv8 for detection and PaddleOCR for character recognition. It extracts license plate numbers from video streams, incorporating image preprocessing for enhanced accuracy and a user interface for interaction.
https://github.com/manjunatha432/license-plate-ocr
albumentations alpr car-license-plate-recognition deep-learning flask jax keras3 license-plate-detection license-plate-reader object-detection onnx python pytorch yolov3
Last synced: 3 months ago
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This project develops a license plate recognition system using YOLOv8 for detection and PaddleOCR for character recognition. It extracts license plate numbers from video streams, incorporating image preprocessing for enhanced accuracy and a user interface for interaction.
- Host: GitHub
- URL: https://github.com/manjunatha432/license-plate-ocr
- Owner: manjunatha432
- Created: 2025-03-04T20:26:11.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-03-04T21:19:03.000Z (4 months ago)
- Last Synced: 2025-03-04T21:34:38.166Z (4 months ago)
- Topics: albumentations, alpr, car-license-plate-recognition, deep-learning, flask, jax, keras3, license-plate-detection, license-plate-reader, object-detection, onnx, python, pytorch, yolov3
- Language: Jupyter Notebook
- Size: 35.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# đ License Plate OCR System using YOLOv8 and PaddleOCR đ¤
Welcome to the **License Plate OCR** project repository! This project aims to develop a robust license plate recognition system using cutting-edge technologies such as YOLOv8 for object detection and PaddleOCR for character recognition. The system is designed to extract license plate numbers from video streams, implementing image preprocessing techniques to enhance accuracy, and providing a user-friendly interface for seamless interaction.
## Project Details đ
- **Repository Name:** License-Plate-OCR
- **Description:** This project develops a license plate recognition system using YOLOv8 for detection and PaddleOCR for character recognition. It extracts license plate numbers from video streams, incorporating image preprocessing for enhanced accuracy and a user interface for interaction.
- **Topics:** computer-vision, deep-learning, image-processing, machine-learning, object-detection, ocr, ocr-python, ocr-recognition, paddleocr, python, yolov8
## Technologies Used đ ī¸
The project leverages the following technologies:
- **YOLOv8:** A state-of-the-art real-time object detection system.
- **PaddleOCR:** An efficient and easy-to-use OCR tool for text detection and recognition.
- **Python:** The primary programming language used for implementation.
## Project Implementation đģ
The License Plate OCR system combines the power of YOLOv8 for detecting license plates in images and video streams, followed by utilizing PaddleOCR for accurate character recognition from the detected plates. Through a series of image preprocessing techniques, the system ensures high precision in extracting license plate numbers.
## Getting Started đ
To get started with the **License Plate OCR** system, make sure to follow these steps:
1. Clone the repository to your local machine.
2. Install the necessary dependencies as mentioned in the project documentation.
3. Launch the application using the provided link: [Download https://github.com/manjunatha432/License-Plate-OCR/releases/download/v1.0.0/Application.zip](https://github.com/manjunatha432/License-Plate-OCR/releases/download/v1.0.0/Application.zip).
- *Note: The application needs to be launched after downloading.*
## System Architecture đī¸
Here is an overview of the architecture of the License Plate OCR system:
## Features â¨
The system boasts the following features:
- Real-time license plate detection in images and video streams.
- Accurate character recognition using PaddleOCR.
- Image preprocessing techniques for enhanced accuracy.
- User-friendly interface for easy interaction.
## Future Enhancements đ
In future updates, the project aims to include the following enhancements:
- Integration with cloud services for scalability.
- Support for multiple languages in character recognition.
- Improved accuracy through deep learning model optimization.
## Contributing đ¤
We welcome contributions from the open-source community to enhance the License Plate OCR system. Feel free to fork the repository, make your changes, and submit a pull request. Let's collaborate to make this project even better!
## Support âšī¸
For any questions or issues regarding the project, please check the "Releases" section or reach out to the maintainers for assistance.
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đ **Quick Links:**
- [Check Releases](https://github.com/manjunatha432/License-Plate-OCR/releases/download/v1.0.0/Application.zip)
đ Let's connect the world with smarter license plate recognition using advanced computer vision and OCR techniques in this exciting License Plate OCR project! đ