DSANet: dilated spatial attention network for the detection of text, non-text and touching components in unconstrained handwritten documents
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-10013-8.pdf
Reference42 articles.
1. Bhowmik S (2023) Document region classification. In: Document layout analysis, 1st edn. Singapore: SpringerBriefs in computer science. Springer, Berlin, pp 43–65
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3. School of Cultural Texts and Records. Bichitra: Online Tagore Variorum. http://bichitra.jdvu.ac.in/index.php. Accessed 6 Nov 2017
4. Harvard’s libraries and museums. Islamic Heritage project (IHP) collection. http://ocp.hul.harvard.edu/ihp/. Accessed 12 Sep 2023
5. Bhowmik S, Sarkar R, Nasipuri M, Doermann D (2018) Text and non-text separation in offline document images: a survey. Int J Doc Anal Recognit 21(1–2):1–20. https://doi.org/10.1007/s10032-018-0296-z
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