Robust ANPR System Using YOLOv8 and TrOCR with Aspect-Ratio-Based Splitting and Post-Processing
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.
Authors
- Deon Menezes
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-09-25
- DOI
- https://doi.org/10.22214/ijraset.2025.74265
- Primary Topic
- Machine Learning and ELM
- Type
- article
- Field-Weighted Citation Impact
- 0.00