Web: http://arxiv.org/abs/2107.10064

Jan. 31, 2022, 2:10 a.m. | Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Beáta Megyesi

cs.CV updates on arXiv.org arxiv.org

Handwritten text recognition in low resource scenarios, such as manuscripts
with rare alphabets, is a challenging problem. The main difficulty comes from
the very few annotated data and the limited linguistic information (e.g.
dictionaries and language models). Thus, we propose a few-shot learning-based
handwriting recognition approach that significantly reduces the human labor
annotation process, requiring only few images of each alphabet symbol. The
method consists in detecting all the symbols of a given alphabet in a textline
image and decoding …

arxiv cv learning

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