HTR ground-truth of Chinese xylographic editions
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| Formato: | Recurso digital |
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2024
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| _version_ | 1866902058404151296 |
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| author | Bizais-Lillig, Marie |
| author_facet | Bizais-Lillig, Marie |
| contents | <p>HTR ground-truth of the CHI-KNOW-PO project.</p> <p>The CHI-KNOW-PO project aims to digitize a corpus of poetic anthologies, commentaries, dictionaries and encyclopedias from the Chinese medieval period (ca. 200-1000) and process them using HTR.</p> <p><a href="https://www.collexpersee.eu/projet/chi-know-po-corpus/">Collox Persée: Official page of the htr project</a></p> <p><a href="https://chi-know-po.gitpages.huma-num.fr/" rel="nofollow">Documentation of the research project</a></p> <p><a href="https://github.com/calfa-co/chi-know-po">Official Github repository for the Ground-Truth</a></p> <p>To date, dataset contains 327 images, for a total of:</p> <ul> <li>1.175 TextRegions</li> <li>12.198 TextLines</li> <li>97.523 Glyphs</li> </ul> <p>To know more: Bizais-Lillig, M., Vidal-Gorène, C., Dupin, B. (2024). Optimizing HTR and Reading Order Strategies for Chinese Imperial Editions with Few-Shot Learning. In: Mouchère, H., Zhu, A. (eds) Document Analysis and Recognition – ICDAR 2024 Workshops. ICDAR 2024. Lecture Notes in Computer Science, vol 14936. Springer, Cham. https://doi.org/10.1007/978-3-031-70642-4_3</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14452717 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
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| spellingShingle | HTR ground-truth of Chinese xylographic editions Bizais-Lillig, Marie Handwritten Text Recognition Chinese Layout Analysis Classical Chinese Xylographic Editions <p>HTR ground-truth of the CHI-KNOW-PO project.</p> <p>The CHI-KNOW-PO project aims to digitize a corpus of poetic anthologies, commentaries, dictionaries and encyclopedias from the Chinese medieval period (ca. 200-1000) and process them using HTR.</p> <p><a href="https://www.collexpersee.eu/projet/chi-know-po-corpus/">Collox Persée: Official page of the htr project</a></p> <p><a href="https://chi-know-po.gitpages.huma-num.fr/" rel="nofollow">Documentation of the research project</a></p> <p><a href="https://github.com/calfa-co/chi-know-po">Official Github repository for the Ground-Truth</a></p> <p>To date, dataset contains 327 images, for a total of:</p> <ul> <li>1.175 TextRegions</li> <li>12.198 TextLines</li> <li>97.523 Glyphs</li> </ul> <p>To know more: Bizais-Lillig, M., Vidal-Gorène, C., Dupin, B. (2024). Optimizing HTR and Reading Order Strategies for Chinese Imperial Editions with Few-Shot Learning. In: Mouchère, H., Zhu, A. (eds) Document Analysis and Recognition – ICDAR 2024 Workshops. ICDAR 2024. Lecture Notes in Computer Science, vol 14936. Springer, Cham. https://doi.org/10.1007/978-3-031-70642-4_3</p> |
| title | HTR ground-truth of Chinese xylographic editions |
| topic | Handwritten Text Recognition Chinese Layout Analysis Classical Chinese Xylographic Editions |
| url | https://doi.org/10.5281/zenodo.14452717 |