What type of study is this?

This is a Experimental Study study.

September 27, 2025

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

Key Points

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.

Abstract

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.

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Cite This Study

Deon Menezes (Thu,) studied this question.

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

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

Discussion

Journals

International Journal for Research in Applied Science and Engineering Technology

References and Citations

Add This Paper to Your Research Feed

Any time a new paper drops it will be there.

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

Key Points

Abstract

Citation Network

Connected Papers

Cite This Study

Also Consider

Discussion

Journals

References and Citations

Also Consider