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ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records

arXiv 1903.03341 ↗First posted 8 Mar 2019cs.CVcited by 10

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Abstract (arXiv)

We propose a Historical Document Reading Challenge on Large Chinese Structured Family Records, in short ICDAR2019 HDRC CHINESE. The objective of the proposed competition is to recognize and analyze the layout, and finally detect and recognize the textlines and characters of the large historical document collection containing more than 20 000 pages kindly provided by FamilySearch.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Mar 2019.

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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 3; 2025: 4; 2026: 1.

10 papers.

  1. 2022A Survey of Historical Document Image Datasetscited by 20
  2. 2025CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognitioncited by 9
  3. 2024U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscriptscited by 4
  4. 2025DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learningcited by 4
  5. 2024C3Bench: A Comprehensive Classical Chinese Understanding Benchmark for Large Language Modelscited by 3
  6. 2025MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categoriescited by 3
  7. 2024SegHist: A General Segmentation-based Framework for Chinese Historical Document Text Line Detectioncited by 2
  8. 2021BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotationcited by 0
  9. 2025KuiSCIMA v2.0: Improved Baselines, Calibration, and Cross-Notation Generalization for Historical Chinese Music Notations in Jiang Kui's Baishidaoren Gequcited by 0
  10. 2026Text region detection in historical astronomical diagramscited by 0