Literature, Tools, Links, and Help

Important Links

Road map “Getting started with Automatic Text Recognition”,  https://harmoniseatr.hypotheses.org/files/2023/11/Edited_ATR-roadmap_V2.pdf 

ATR-Software

eScriptorium: https://escriptorium.inria.fr/  

OCR4all, https://www.ocr4all.org/ 

OCR-D, https://ocr-d.de/ 

Transkribus: https://www.transkribus.org/

Finding ATR-Models

HTR-United: https://htr-united.github.io/

Zenodo: https://zenodo.org/
GitHub: https://github.com/

Read further

Khan, Rahat, Nidhi Gupta, Atasi Sinhababu, and Rupak Chakravarty. “Impact of Conversational and Generative AI Systems on Libraries: A Use Case Large Language Model (LLM).” Science & Technology Libraries, (2023), 1–15. doi:10.1080/0194262X.2023.2254814

Nguyen, Thi Tuyet Hai; Jatowt, Adam; Coustaty, Mickael; Doucet, Antoine. 2022. Survey of Post-OCR Processing Approaches. ACM Computing Surveys 54 (6):1‑37. https://doi.org/10.1145/3453476.

Najem-Meyer, Sven; Romanello, Matteo. Page Layout Analysis of Text-heavy Historical Documents: a Comparison of Textual and Visual Approaches, 2022. URL: http://arxiv.org/abs/2212.13924. doi:10.48550/arXiv.2212.13924, arXiv:2212.13924 [cs].

Sánchez, Joan Andreu; Bosch, Vicent; Romero, Verónica; Depuydt, Katrien; and de Does, Jesse. 2014. “Handwritten text recognition for historical documents in the transcriptorium project”. In Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage (DATeCH ‘14). Association for Computing Machinery, New York, NY, USA, 111–117. DOI:https://doi.org/10.1145/2595188.2595193

Stötzner, Ernst, Timo Homburg, Jan Philipp Bullenkamp, and Hubert Mara. ‘R-CNN Based PolygonalWedge Detection Learned from Annotated 3D Renderings and Mapped Photographs of Open Data Cuneiform Tablets’. In Eurographics Workshop on Graphics and Cultural Heritage, edited by Alberto Bucciero, Bruno Fanini, Holger Graf, Sofia Pescarin, and Selma Rizvic. The Eurographics Association, 2023. https://doi.org/10.2312/gch.20231157

Wei, Tan Chiang, U. U. Sheikh, and Ab Al-Hadi Ab Rahman. ‘Improved Optical Character Recognition with Deep Neural Network’. In 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), 245–49, 2018. https://doi.org/10.1109/CSPA.2018.8368720

Getting Help

Kompetenzzentrum ATR Tübingen, https://uni-tuebingen.de/einrichtungen/universitaetsbibliothek/publizieren-forschen/kompetenzzentrum-ocr/ 

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