Handwritten Text Recognition for Low Resource Languages
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Sayantan Dey +2 more
openaire +2 more sources
MANUSCRIPT DOCUMENT DIGITALIZATION AND RECOGNITION: A FIRST APPROACH
The handwritten manuscript recognizing process belongs to a set of initiatives which lean to the preservation of cultural patrimony gathered in libraries and archives, where there exist a great wealth in documents and even handwritten cards that ...
Marisa R. De Giusti +2 more
doaj
Enhancing Transformer-Based Language Models for Hungarian Handwritten Text Recognition. [PDF]
Al-Hitawi MAS, Gyöngyössy NM.
europepmc +1 more source
Assessing advanced handwritten text recognition engines for digitizing historical documents. [PDF]
Romein CA +3 more
europepmc +1 more source
A scarce dataset for ancient Arabic handwritten text recognition. [PDF]
Najam R, Faizullah S.
europepmc +1 more source
A 48-class handwritten dataset for the endangered chakma language. [PDF]
Ferdeous J +5 more
europepmc +1 more source
SurveyNet: A Unified Deep Learning Framework for OCR and OMR-Based Survey Digitization. [PDF]
Quiñones R, Cheekireddy S, Gultepe E.
europepmc +1 more source
BPS2025: A demographically focused dataset of handwritten bangla primary script for early writer recognition. [PDF]
Atique MMAB +5 more
europepmc +1 more source
Comparative evaluation of handwriting recognition by large language models (LLMs) in interpreting handwritten medication lists. [PDF]
Jacobs TG +3 more
europepmc +1 more source
Automated information extraction from plant specimen labels using OCR and large language models. [PDF]
Wen J.
europepmc +1 more source

