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This is a Experimental Study study.

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

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Modular ANPR system improves accuracy in recognizing number plates, suggesting enhanced reliability.

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.

Deon Menezes (2025) studied this question.

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