Historical Text Line Segmentation Using Deep Learning Algorithms: Mask-RCNN against U-Net Networks
Florian Côme Fizaine,
Patrick Bard,
Michel Paindavoine
et al.
Abstract: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 a post-processing step to perform instance (e.g., text line) segmentation. In the present work, we test the advantages of Mask-RCNN, which is designed to perform instance segmentation directly. This work is the fir… Show more
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