Historical Text Line Segmentation Using Deep Learning Algorithms: Mask-RCNN against U-Net Networks

Text line segmentation is a necessary preliminary step before most text transcription algorithms are applied. The leading deep learning networks used in this context (ARU-Net, dhSegment, and Doc-UFCN) are based on the U-Net architecture. They are efficient, but fall under the same concept, requiring...

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Bibliographic Details

Published in:	Journal of Imaging
Main Authors:	Florian Côme Fizaine, Patrick Bard, Michel Paindavoine, Cécile Robin, Edouard Bouyé, Raphaël Lefèvre, Annie Vinter
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Subjects:	deep learning line segmentation instance segmentation Mask-RCNN U-Net historical document analysis
Online Access:	https://www.mdpi.com/2313-433X/10/3/65