Peruvian License Plate Recognition at the Edge: Compact LPRNet and CRNN Recognizers Distilled from a Rule-Corrected Generic OCR

High recognition rates reported for automatic license plate recognition (ALPR) rarely survive deployment. We analyze a fixed-camera edge ALPR system that ran without interruption for 465 days at the vehicle entrance of a university on the Peruvian altiplano and logged 579,292 crops from 29,928 uniqu...

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Autores principales: Ángel Rosendo Condori-Coaquira, Esteban Tocto-Cano, Milton Edward Humpiri Flores, David Mamani-Pari, G. López
Formato: Artículo
Lenguaje:inglés
Publicado: 2026
Materias:
license plate recognition
edge computing
knowledge distillation
convolutional recurrent neural network
connectionist temporal classification
PaddleOCR
label reliability
YOLOv8
fine-tuning
Vehicle License Plate Recognition
Advanced Neural Network Applications
Handwritten Text Recognition Techniques
Acceso en línea:Enlace permanente (DOI o Handle)
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Internet

https://doi.org/10.3390/s26217076

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