Abstract:
This research presents an enhanced license plate recognition system for real-time
detection and recognition in transportation and security applications. YOLO object
detection algorithms (YOLOv8s, YOLOv8x, YOLOv11s) enable accurate license
plate localization, while EasyOCR ensures reliable alphanumeric identification in
challenging situations, including low light and complex backgrounds. Testing on
diverse datasets demonstrated high accuracy, with YOLOv11 and data
augmentation achieving a peak F1 score of 98%. The system also addresses Bengali
character recognition challenges, offering a foundation for region-specific
improvements. These outcomes validate the system's effectiveness for law
enforcement, traffic management and security.