Deep Layout Analysis of Multi-lingual and Composite Documents
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46335-8_7
Reference13 articles.
1. Bukhari, S.S., Breuel, T.M., Asi, A., El-Sana, J.: Layout analysis for Arabic historical document images using machine learning. In: 2012 International Conference on Frontiers in Handwriting Recognition, pp. 639–644. IEEE (2012)
2. Huang, Y., et al.: A yolo-based table detection method. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 813–818. IEEE (2019)
3. Bethesda (MD): National Library of Medicine: PMC open access subset (2003). https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/. Accessed 15 Jan 2023
4. Minouei, M., Soheili, M.R., Stricker, D.: Document layout analysis with an enhanced object detector. In: 2021 5th International Conference on Pattern Recognition and Image Analysis (IPRIA), pp. 1–5. IEEE (2021)
5. O’Gorman, L.: The document spectrum for page layout analysis. IEEE Trans. Pattern Anal. Mach. Intell. 15(11), 1162–1173 (1993)
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