Vehicles Number Plate Detection Using Pytesseract

A system which uses the image of vehicles that break traffic rules (images of vehicles are captured by cctv camera) to detect and extract the number from the number plate and send it to the police department to get the information of the vehicle owner.

Project

Install

If you are running this file in Google Colab then skip this installation. This project requires Python and the following Python libraries installed:

• NumPy
• Pandas
• matplotlib
• scikit-learn
• Pytesseract

You will also need to have software installed to run this and execute a Jupyter Notebook.

If you do not have Python installed yet, it is highly recommended that you install the Anaconda distribution of Python, which already has the above packages and more included.

Code

Template code is provided in the untitled0.ipynb notebook file. You will also be required to use the included wpod-net.jsonand the local_utils.py python file to complete to successfully complete the project.

How to Run

If your are running in Google Colab run it directly.

In a terminal or command window, navigate to the top-level project directory Number_plate_detection/ (that contains this README) and run one of the following commands:

jupyter notebook untitled0.ipynb

This will open the Jupyter Notebook software and project file in your browser.

Screenshots

Captured Image

Extracting only license plate

Preprocessed image

Email sent through smtp server

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