Handwritten text recognition (HTR) is an essential tool for digitizing historical documents, according to a new arXiv preprint. The paper, 'Exploring In-Context Learning for Handwritten Text Recognition,' says HTR reduces time and cost while broadening access to archival materials.
The preprint investigates in-context learning as a possible approach for HTR. In-context learning lets models adapt to new tasks from examples in their input, though the abstract does not detail how this applies to handwriting.
Since the source is only an abstract, no experimental findings or comparisons are available. The summary reflects the stated motivation and research direction alone.