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Handwritten Chinese Text Recognition
3 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Handwritten Chinese text recognition is the task of interpreting handwritten Chinese input, e.g., from images of documents or scans.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
3 shown of 3 papers with code (8 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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29 Jul 2022 4 repositories listedUtilizing the proposed weakly supervised learning framework, PageNet requires only transcripts to be annotated for real data; however, it can still output detection and recognition results at both the character and line…
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28 Jun 2020 1 repository listedDeep learning based methods have been dominating the text recognition tasks in different and multilingual scenarios.
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24 Dec 2018 1 repository listedRecently, the hybrid convolutional neural network hidden Markov model (CNN-HMM) has been introduced for offline handwritten Chinese text recognition (HCTR) and has achieved state-of-the-art performance.
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