License Plate Recognition Application

This project is an Automatic Number Plate Recognition (ANPR) application that can detect and extract license plate numbers from images or videos. It supports multiple OCR (Optical Character Recognition) techniques, including Keras OCR, OpenALPR, and EasyOCR.

Main Function Points

• Multiple OCR techniques: Keras OCR, OpenALPR, and EasyOCR
• Detect and extract license plate numbers from images or videos
• User interface to select preferred OCR technique and upload images

Technology Stack

• Python 3.8+
• Flask (web application framework)
• Keras, OpenALPR, and EasyOCR (OCR libraries)
• YOLO (object detection model)

Prerequisites

• Python 3.8+
• pip

Installation

1. Clone the repository:

git clone https://repository-url.git
cd project-directory

2. Install the required dependencies:

pip install -r requirements.txt

Usage

Running the Application

python app.py

Features

• Multiple OCR Techniques:
  • Keras OCR
  • OpenALPR
  • EasyOCR

How to Use

1. Launch the application
2. Select your preferred OCR technique from the UI
3. Upload an image
4. Let the processor run
5. View tracked objects and corresponding license plate numbers

Supported OCR Techniques

• Keras OCR
• OpenALPR
• EasyOCR

Requirements

See requirements.txt for a full list of Python dependencies.