https://github.com/shaadclt/numberplate-detection-extraction
This project demonstrates how to perform automatic number plate detection and extraction using YOLOv5 for object detection and pytesseract for optical character recognition.
https://github.com/shaadclt/numberplate-detection-extraction
easyocr tensorflow yolov5
Last synced: about 1 month ago
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This project demonstrates how to perform automatic number plate detection and extraction using YOLOv5 for object detection and pytesseract for optical character recognition.
- Host: GitHub
- URL: https://github.com/shaadclt/numberplate-detection-extraction
- Owner: shaadclt
- Created: 2023-05-12T20:51:06.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-08-06T16:21:40.000Z (about 2 years ago)
- Last Synced: 2025-04-10T01:12:11.452Z (6 months ago)
- Topics: easyocr, tensorflow, yolov5
- Language: Python
- Homepage: https://anpr-0gk6.onrender.com
- Size: 22.7 MB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Number Plate Detection and Extraction
This project demonstrates how to perform number plate detection and extraction using YOLOv5 for object detection, Tensorflow for Model Training and Pytesseract for optical character recognition.
## Overview
The goal of this project is to develop a system that can detect and extract number plates from images. The system utilizes the YOLOv5 object detection algorithm to locate the number plates in an image. Once the number plates are detected, Pytesseract is used to extract the text from the number plates.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/shaadclt/NumberPlate-Detection-Extraction.git
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Install Tesseract
You can either Install Tesseract via [pre-built binary package](https://tesseract-ocr.github.io/tessdoc/Installation.html) or [build it from source.](https://tesseract-ocr.github.io/tessdoc/Compiling.html).
A C++ compiler with good C++17 support is required for building Tesseract from source.
## Usage
1. Run the following command to perform number plate detection and extraction on images:
```bash
python app.py
```
## Results
The results of the number plate detection and text extraction will be displayed.
## Examples
Here are some examples of the output generated by the system:
## Contributing
Contributions are welcome! If you have any suggestions or improvements, please open an issue or submit a pull request.
## License
This project is licensed under the [MIT License](LICENSE).
```
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