3364502
doi
10.5281/zenodo.3364502
oai:zenodo.org:3364502
user-icedig
user-eu
Dillen Mathias
Meise Botanic Garden, Meise, Belgium
Livermore Laurence
The Natural History Museum, London, United Kingdom
Phillips Sarah
Royal Botanic Gardens, Kew, United Kingdom
Wu Zhengzhe
Finnish Museum of Natural History, LUOMUS, Helsinki, Finland
Groom Quentin
Meise Botanic Garden, Meise, Belgium
Hardisty Alex
School of Computer Science & Informatics, Cardiff University, Cardiff, United Kingdom
Leegwater Thijs
Picturae BV, Heiloo, Netherlands
van Walsum Myriam
Picturae BV, Heiloo, Netherlands
Wijkamp Noortje
Picturae BV, Heiloo, Netherlands
Spasić Irena
School of Computer Science & Informatics, Cardiff University, Cardiff, United Kingdom
Methods for Automated Text Digitisation
Owen David
School of Computer Science & Informatics, Cardiff University, Cardiff, United Kingdom
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>In this document we describe an effective approach to automated text digitisation with respect to specimen labels. These labels contain much useful data about the specimen including its collector, country of origin and collection date. Our approach to automatically extracting these data takes the form of a pipeline. Recommendations are made for the pipeline’s component parts based on some of the state-of-the-art technologies.</p>
Zenodo
2019-01-31
info:eu-repo/semantics/report
3364501
user-icedig
user-eu
award_title=Innovation and consolidation for large scale digitisation of natural heritage; award_number=777483; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/777483; funder_id=00k4n6c32; funder_name=European Commission;
1579540224.345908
3500523
md5:4054a6369128692d05165bca7fe2e2a1
https://zenodo.org/records/3364502/files/Deliverable D4.1 ICEDIG - Methods for Automated Text Digitisation.pdf
public
10.5281/zenodo.3364501
isVersionOf
doi