Intelligent Data Analysis for Conservation: Experiments with Rhino Horn Fingerprint Identification

  • Rajan Amin
  • Max Bramer
  • Richard Emslie
Conference paper

Abstract

Conservation is an area in which a great deal of data has been collected over many years. Intelligent Data Analysis offers the possibility of analysing this data in an automatic fashion to map characteristics, identify trends and offer guidance for conservation action. This paper is concerned with the use of techniques of Intelligent Data Analysis for an important task in animal conservation: the identification of the species and origin of illegally traded or confiscated African rhino horn. It builds on an earlier analysis by the African Rhino Specialist Group. It is demonstrated that it is possible to distinguish between both species and country of origin with a high degree of accuracy and that the results are also likely to be suitable for use in court.

Keywords

Magnesium Cadmium Hunt Marin 

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Copyright information

© Springer-Verlag London Limited 2003

Authors and Affiliations

  • Rajan Amin
    • 1
  • Max Bramer
    • 2
  • Richard Emslie
    • 3
  1. 1.Institute of ZoologyZoological Society of LondonUK
  2. 2.Faculty of TechnologyUniversity of PortsmouthPortsmouthUK
  3. 3.IUCN SSC African Rhino Specialist GroupKwaZulu-NatalSouth Africa

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