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

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