A Key Information Extraction Model for the Peruvian National Identity Document Using YOLO and TrOCR

Automatic information extraction from identity documents remains a challenging task due to variations in image quality, document layout, and text appearance. This study proposes a key information extraction system for the Peruvian National Identity Document (DNI) by integrating object detection and...

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Autores principales: Jhoselyn Noemi Quispe Valero, Fredy Abel Huanca Torres
Formato: Artículo
Lenguaje:inglés
Publicado: 2026
Materias:
YOLOv11
TrOCR
optical character recognition
region of interest detection
document segmentation
fine-tuning
web application
Handwritten Text Recognition Techniques
Vehicle License Plate Recognition
Advanced Neural Network Applications
Acceso en línea:Enlace permanente (DOI o Handle)
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Internet

https://doi.org/10.1109/access.2026.3723416

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