Nurtau / license-plate-recognition

License plate recognition

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python: This project requires Python to be installed. If you don't have Python installed, download and install it from python.org.

• OpenCV (cv2): OpenCV is used for image processing. After installing Python, you can install OpenCV by running pip install opencv-python in your terminal.

• NumPy: NumPy is a library for numerical computations. Install it using pip install numpy.

• Tesseract OCR: Tesseract is an optical character recognition engine. Install it by following the instructions on the Tesseract GitHub page.

Installation

To set up the project, follow these steps:

1. Clone the repository to your local machine.
2. Navigate to the project directory in your terminal.

Preparing Images

Before running the main script, ensure you do the following:

1. Place your car images in the original-images folder.
2. Run following command to apply salt and pepper noise to images and save noisy images in noisy-images folder.

python generate_noisy_images.py

Usage

To run the main script, use the following command in your terminal:

python main.py --char-transformation "erode"

Options for --char-transformation:

• dilate: Apply dilation morphological operation to segmented characters.
• erode: Apply erosion morphological operation.
• none: No character transformation will be applied.

Adjust the --char-transformation argument based on your requirement.