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Automatic Number Plate Recognition (ANPR): A Python project utilizing OpenCV and Tesseract OCR for real-time vehicle license plate detection and character recognition with advanced image processing techniques.

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Automatic Number Plate Recognition (ANPR)

ANPR Banner

Table of Contents

Introduction

Automatic Number Plate Recognition (ANPR) is a software system that automatically recognizes and extracts license plate information from images or video streams. This ANPR project is designed to be efficient, accurate, and easy to use, making it suitable for various applications such as traffic management, parking systems, law enforcement, and more.

This project is built using cutting-edge computer vision and deep learning techniques, enabling it to handle various real-world scenarios and challenging environments.

Features

  • Accurate and fast license plate detection
  • Robust character segmentation and recognition
  • Support for multiple countries' license plate formats
  • Configurable to work with both images and video streams
  • Easy-to-use API for seamless integration into other applications
  • Minimal dependencies for straightforward installation

Installation

Follow these steps to install the ANPR system:

  1. Clone the repository to your local machine:
git clone https://github.com/tanishq5414/ANPR.git
cd ANPR

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Automatic Number Plate Recognition (ANPR): A Python project utilizing OpenCV and Tesseract OCR for real-time vehicle license plate detection and character recognition with advanced image processing techniques.

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