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Editorial for special issue on “Advanced Topics in Document Analysis and Recognition”
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353931/ https://www.ncbi.nlm.nih.gov/pubmed/34393648 http://dx.doi.org/10.1007/s10032-021-00385-1 |
| _version_ | 1783736502973366272 |
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| author | Lladós, Josep Lopresti, Daniel Uchida, Seiichi |
| author_facet | Lladós, Josep Lopresti, Daniel Uchida, Seiichi |
| author_sort | Lladós, Josep |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8353931 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Springer Berlin Heidelberg |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-83539312021-08-10 Editorial for special issue on “Advanced Topics in Document Analysis and Recognition” Lladós, Josep Lopresti, Daniel Uchida, Seiichi Int J Doc Anal Recognit Editorial Springer Berlin Heidelberg 2021-08-10 2021 /pmc/articles/PMC8353931/ /pubmed/34393648 http://dx.doi.org/10.1007/s10032-021-00385-1 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
| spellingShingle | Editorial Lladós, Josep Lopresti, Daniel Uchida, Seiichi Editorial for special issue on “Advanced Topics in Document Analysis and Recognition” |
| title | Editorial for special issue on “Advanced Topics in Document Analysis and Recognition” |
| title_full | Editorial for special issue on “Advanced Topics in Document Analysis and Recognition” |
| title_fullStr | Editorial for special issue on “Advanced Topics in Document Analysis and Recognition” |
| title_full_unstemmed | Editorial for special issue on “Advanced Topics in Document Analysis and Recognition” |
| title_short | Editorial for special issue on “Advanced Topics in Document Analysis and Recognition” |
| title_sort | editorial for special issue on “advanced topics in document analysis and recognition” |
| topic | Editorial |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353931/ https://www.ncbi.nlm.nih.gov/pubmed/34393648 http://dx.doi.org/10.1007/s10032-021-00385-1 |
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