Paper Title
License Plate Recognition using OpenCV

Abstract
Using OpenCV, PyTesseract OCR Engine, and YOLOv4 model, number-plate recognition is a system that employs optical character recognition on images to read automobile registration plates. Using a web application, license plate images are submitted to the YOLOv4 model. The model is trained using photos from the Kaggle dataset. Using the model, the license plate is then retrieved from the vehicle. The string is extracted from the image using PyTesseract OCR Engine. This approach had a 94% success rate when applied to many datasets. This strategy is applicable to real-time situations as well. Keywords - Optical Character Recognition, Number Plate, OpenCV, Pytesseract