id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-5102	Tarun Kumar	Comparative Study of Character Recognition for Handwritten Characters	2025	16	.pdf	application/pdf	6451	357	45	The outcomes of this study reveal that OCR models based on deep learning, particularly those utilizing CNN architectures, surpass traditional methods in the recognition of both printed and handwritten text. As advancements in deep learning continue, OCR models can be refined to achieve greater accuracy, improved generalization, and broader applicability across diverse fields.	cache/cana-5102.pdf	txt/cana-5102.txt