9th International Conference on ICT for Sustainable Development

Authors - Aishwarya G, Divya Prasan Karoshi, Laxmi Koutanali, Kaushik Mallibhat
Abstract - The license plate recognition system has emerged as a crucial component in the creation of smart cities, primarily to manage traffic, investigate stolen automobiles, and manage vehicles. The authors in this paper propose a method that consists of the three primary components of license plate recognition. It includes pre-trained model YOLOv8 towards localizing the license plate of the vehicle, cropping the image based on the detected bounding box, and further employing the Optical Character Recognition (OCR) algorithm to identify the characters. Compared to state of art algorithms, the testing results demonstrate 83.65 percent accuracy and faster execution times.