Please use this identifier to cite or link to this item:
http://dx.doi.org/10.34960/26| Title: | D4.1 Methods for Automated Text Digitisation |
| Authors: | Owen, David Groom, Quentin Hardisty, Alex Leegwater, Thijs van Walsum, Myriam Wijkamp, Noortje Spasić, Irena |
| Contributors: | Dillen, Mathias Livermore, Laurence Phillips, Sarah Wu, Zhengzhe |
| Keywords: | Digitisation |
| Publication Date: | 2019 |
| Publisher: | ICEDIG |
| Citation: | Owen David, Groom Quentin, Hardisty Alex, Leegwater Thijs, van Walsum Myriam, Wijkamp Noortje, & Spasić Irena. (2019). Methods for Automated Text Digitisation. Zenodo. |
| Abstract: | 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. |
| URI: | https://know.dissco.eu/handle/item/91 |
| DOI: | https://doi.org/10.5281/zenodo.3364502 |
| Appears in the Folders: | ICEDIG Work Package 4 - Business Framework |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Deliverable D4.1 ICEDIG - Methods for Automated Text Digitisation.pdf | 3.42 MB | Adobe PDF | View/Open |
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