ABSTRACT
Automatic Number Plate Recognition (ANPR) is an indispensable technology in the evolving landscape of traffic management and surveillance. This paper presents an exhaustive exploration of a Python-based ANPR system, seamlessly integrating OpenCV and EasyOCR. Far from a cursory overview, our study delves into the intricate facets of image processing, character recognition, and the rigorous evaluation of system performance. The integration of OpenCV for image processing and EasyOCR for optical character recognition forms the crux of a robust ANPR solution. This paper unravels the complexities, examining how these components synergize to meet and surpass the demands of ANPR applications. Beyond the theoretical realm, our project is open-sourced on GitHub, marking a commitment to collaboration and knowledge sharing within the broader community. This deliberate openness transcends this paper, inviting engagement and serving as a catalyst for collective advancements in ANPR technology.
