computer-vision-10
Text-Line Extraction
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts
M. Liwicki, Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, R. Ingold•Mon Jun 10 2019
This work proposes a novel method which uses semantic segmentation at pixel level as intermediate task, followed by a text-line extraction step, and demonstrates that semantic pixel segmentation can be used as strong denoising pre-processing step before performing text line extraction.
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