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This is a Experimental Study study.

September 27, 2025

Robust ANPR System Using YOLOv8 and TrOCR with Aspect-Ratio-Based Splitting and Post-Processing

Puntos clave

The system demonstrates significant improvements in accuracy and robustness over traditional methods.
Using YOLOv8 for plate detection alongside TrOCR for OCR enhances the overall functionality.
Aspect-ratio-based splitting enables effective recognition of vertically stacked number plates.
The process includes webcam capture and time-stamped logging for efficient data processing and retrieval.

Resumen

In this paper we present a modular and efficient Automatic Number Plate Recognition (ANPR) system which combines YOLOv8 - based plate detection and transformer-based OCR via TrOCR. A novel aspect-ratio-based splitting strategy helps it recognize vertically stacked number plates. The system has webcam capture and logs cleaned time-stamped output as part of a clear process to follow at some later point in time. Our approach has significant improvements to accuracy and robustness.

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Cite This Study

Deon Menezes (Thu,) studied this question.

synapsesocial.com/papers/68d7b3e9eebfec0fc523702c https://doi.org/https://doi.org/10.22214/ijraset.2025.74265

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