Published January 31, 2019
| Version v1
Project deliverable
Open
Methods for Automated Text Digitisation
Creators
- 1. School of Computer Science & Informatics, Cardiff University, Cardiff, United Kingdom
- 2. Meise Botanic Garden, Meise, Belgium
- 3. Picturae BV, Heiloo, Netherlands
Contributors
Project members:
- 1. Meise Botanic Garden, Meise, Belgium
- 2. The Natural History Museum, London, United Kingdom
- 3. Royal Botanic Gardens, Kew, United Kingdom
- 4. Finnish Museum of Natural History, LUOMUS, Helsinki, Finland
Description
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.
Files
Deliverable D4.1 ICEDIG - Methods for Automated Text Digitisation.pdf
Files
(3.5 MB)
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