3260 papers • 126 benchmarks • 313 datasets
Decompose a text into the letters / tokens that are used to write it.
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These leaderboards are used to track progress in handwritten-text-recognition
No benchmarks available.
Use these libraries to find handwritten-text-recognition models and implementations
No datasets available.
No subtasks available.
This work provides the first adaptation and evaluation of a deep unsupervised multi-object segmentation approach for text line analysis and shows the potential of the method for new applications, more specifically in the field of paleography, which studies the history and variations of handwriting, and for cipher analysis.
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