Automatic metadata capture

Output number: 
Output type: 
Task
Description: 

Automatic metadata capture
 

Develop software that will automatically identify properties of an image. These data “facets” will be automatically
captured without human intervention and provide categories of information that allow Users to easily search and
browse virtual collections more effectively.

Specimen label data will be subjected to Optical Character Recognition (OCR) software to extract the text string
and research methods to improve the accuracy of OCR use on handwritten labels. OCR-extracted text collected
from handwritten labels will need to be subject to further processing and validation, such as via crowdsourcing
methodologies (objective 2).

Lead participant: 

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Scratchpads developed and conceived by (alphabetical): Ed Baker, Katherine Bouton Alice Heaton Dimitris Koureas, Laurence Livermore, Dave Roberts, Simon Rycroft, Ben Scott, Vince Smith