Computerising Natural History Card Archives

  • Authors:
  • A. C. Downton;S. M. Lucas;G. Patoulas;G. W. Beccaloni;M. J. Scoble;G. S. Robinson

  • Affiliations:
  • -;-;-;-;-;-

  • Venue:
  • ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper summarises the achievements of a multi-disciplinaryBioinformatics project which has theobjective of providing a general mechanism for efficientcomputerisation of typewritten/hand-annotated archivecard indexes, of the type found in most museums, archivesand libraries. In addition to efficiently scanning,recognising and databasing the content of the cards, theoriginal card images must be maintained as the ultimatesource record, and a flexible database structure isrequired to allow taxonomists to reorganise and updatethe resulting online archive. Implementation mechanismsfor each part of the overall system are described, andconversion performance for a demonstrator database of27,578 Pyralid moth archive cards is reported. Thesystem is currently being used to convert the full NHMarchive of Lepidoptera totalling 290,886 cards.