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Reading Chinese in Natural Scenes with a Bag-of-Radicals Prior. (arXiv:2210.02576v1 [cs.CV])
Oct. 7, 2022, 1:15 a.m. | Liu Yongbin, Liu Qingjie, Chen Jiaxin, Wang Yunhong
cs.CV updates on arXiv.org arxiv.org
Scene text recognition (STR) on Latin datasets has been extensively studied
in recent years, and state-of-the-art (SOTA) models often reach high accuracy.
However, the performance on non-Latin transcripts, such as Chinese, is not
satisfactory. In this paper, we collect six open-source Chinese STR datasets
and evaluate a series of classic methods performing well on Latin datasets,
finding a significant performance drop. To improve the performance on Chinese
datasets, we propose a novel radical-embedding (RE) representation to utilize
the ideographic descriptions …
More from arxiv.org / cs.CV updates on arXiv.org
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