Abstract: Highlights•Employing prototypes for feature refinement via guiding the feature learning process.•A class-aware canonical glyph segmentation module to improves feature discrimination.•A mask-guided feature alignment and fusion module to enhance the text features.•The proposed method gets state-of-the-art results on text recognition benchmarks.
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