Real-Time Plate Number Detection OpenCV Python With Source Code

Real-Time Plate Number Detection OpenCV Python With Source Code

The Real-Time Plate Number Detection OpenCV was developed using Python OpenCV, License Plate Recognition is an image-processing technology used to identify vehicles by their license plates. This technology is used in various security and traffic applications.

A Plate Number Detection OpenCV Python aims to recognize license number plates. In order to detect license number plates, we will use OpenCV to identify number plates and python pytesseract to extract characters and digits from the number plates.

In this Python OpenCV Project also includes a downloadable source code for free, just find the downloadable source code below and click to start downloading.

By the way if you are new to python programming and you don’t know what would be the the Python IDE to use, I have here a list of Best Python IDE for Windows, Linux, Mac OS that will suit for you. I also have here How to Download and Install Latest Version of Python on Windows.

To start executing Real-Time Plate Number Detection With Source Code, make sure that you have installed Python 3.9 and PyCharm in your computer.

Real-Time Plate Number Detection OpenCV Python With Source Code : Steps on how to run the project

Time needed: 5 minutes.

These are the steps on how to run Real-Time Plate Number Detection OpenCV Python With Source Code

  • Step 1: Download the given source code below.

    First, download the given source code below and unzip the source code.
    plate number detection download source code

  • Step 2: Import the project to your PyCharm IDE.

    Next, import the source code you’ve download to your PyCharm IDE.
    plate number detection open project

  • Step 3: Run the project.

    last, run the project with the command “py main.py”
    plate number detection run project

Installed Libraries

Complete Source Code

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Summary

In this article, we have developed a deep learning project to recognize license number plate. We discussed some important features of OpenCV like Gaussian blur, Sobel operators, Morphological transformations. The application detects number plate text from an image. We have identified and cleaned the number plate using openCV. To identify the number plate digits and characters we used pytesseract.

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