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A Python-based vehicle license plate recognition system using OpenCV, contour detection, and EasyOCR. This project detects and extracts license plates from images and reads the plate numbers with high accuracy using deep learning-based OCR.

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License Plate OCR

LicensePlateOCR

LicensePlateOCR is a Python-based license plate recognition system that detects and extracts license plates from vehicle images using OpenCV, EasyOCR, and other powerful libraries. Designed for high accuracy and robust performance, this project leverages advanced image processing techniques to reliably isolate and read license plates.

Features

  • Detects and isolates vehicle license plates using OpenCV
  • Applies noise reduction and edge detection for enhanced image processing
  • Identifies rectangular plate regions through contour analysis
  • Extracts text from license plates using EasyOCR
  • Visualizes results with Matplotlib

Tech Stack

  • Python for core programming
  • OpenCV for image processing and computer vision
  • EasyOCR for optical character recognition
  • imutils for simplified image manipulation
  • NumPy for numerical operations
  • Matplotlib for data visualization

Getting Started

Prerequisites

  • Python 3.6+
  • pip package manager

Installation & Setup

git clone https://github.com/Imrane-98/LicensePlateDetection.git
cd LicensePlateDetection
pip install -r requirements.txt
ANPRWithPython.ipynb

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A Python-based vehicle license plate recognition system using OpenCV, contour detection, and EasyOCR. This project detects and extracts license plates from images and reads the plate numbers with high accuracy using deep learning-based OCR.

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