Python ANPR with OpenCV and EasyOCR - Automatic Number Plate Recognition Tutorial

Learn how to implement Automatic Number Plate Recognition (ANPR) using Python, OpenCV, and EasyOCR in this comprehensive tutorial video. Discover edge detection and filtering techniques combined with deep learning-powered optical character recognition to extract number plate text from images. Master reading and visualizing images with OpenCV, applying color shifts and changes, detecting contours, masking number plates for improved text extraction, and using EasyOCR for optical character recognition. Gain practical skills for computer vision projects, including car park management and vehicle identification. Access the provided code repository and additional resources to enhance your learning experience and apply ANPR techniques to real-world scenarios.

- Start
- Reading and visualising images using OpenCV with Python
- Applying color shifts and changes to images e.g. grayscaling and BGR2RGB
- Detecting contours using OpenCV findCountours
- Masking number plates to improve text extraction for OCR
- Extracting number plate text using EasyOCR