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Found 5 papers, 3 papers with code
Impact of Ground Truth Quality on Handwriting Recognition
Handwriting recognition is a key technology for accessing the content of old manuscripts, helping to preserve cultural heritage.
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis
Pre-implemented tasks such as segmentation and classification can be easily used or customized.
Ranked #1 on
Semantic Segmentation
on DIVA-HisDB
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs
Second, we transfer the style of a collection of unlabeled historical images to these template documents while preserving their text and layout.
Optical Character Recognition (OCR)
Synthetic Data Generation
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts
We measured the performance of our method on a recent dataset of challenging medieval manuscripts and surpassed state-of-the-art results by reducing the error by 80. 7%.
Ranked #1 on
Text-Line Extraction
on DIVA-HisDB
Improving Reproducible Deep Learning Workflows with DeepDIVA
The field of deep learning is experiencing a trend towards producing reproducible research.
