Vehicle License Plate Detection and Recognition using YOLOv9 and Easy OCR

The objective of the paper is to propose an approach for a real-time accurate Automatic Number Plate Recognition(ANPR) system, which recognizes vehicle license plates. The system is based on a common vision concept that combines Optical character recognition (OCR) and YOLOv9 deep learning algorithm. Intended to overcome challenges including poor light, partial obstruction, and different angles for high-speed vehicle plate recognition over multiple regions. This means that not only is the architecture future-friendly for license plate designs, but it will also work with existing infrastructure so this can be deployed in traffic management, law enforcement, and security use cases.