Project deliverable Open Access
Methods for Automated Text Digitisation
Owen David; Groom Quentin; Hardisty Alex; Leegwater Thijs; van Walsum Myriam; Wijkamp Noortje; Spasić Irena
Project member(s)
Dillen Mathias; Livermore Laurence; Phillips Sarah; Wu ZhengzheIn 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.
Files
(3.5 MB)
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Deliverable D4.1 ICEDIG - Methods for Automated Text Digitisation.pdf
md5:4054a6369128692d05165bca7fe2e2a1 |
3.5 MB | Download |
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| Data volume | 63.0 MB | 63.0 MB |
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Indexed in
- Publication date:
- January 31, 2019
- DOI:
-
- Grants:
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European Commission:
- ICEDIG - Innovation and consolidation for large scale digitisation of natural heritage (777483)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International