• DocumentCode
    3252061
  • Title

    Non-invasive lizard identification using signature curves

  • Author

    Li, Jim S Jimmy ; Tohl, Damian ; Randhawa, Sharmil ; Shamimi, Leili ; Bull, Michael C.

  • Author_Institution
    Sch. of Comput. Sci., Flinders Univ., Adelaide, SA, Australia
  • fYear
    2009
  • fDate
    23-26 Jan. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A novel non-invasive method is proposed to help identify the endangered Pygmy Bluetongue Lizard. This would be preferable to the commonly used, invasive, toe-clipping method, which could be unreliable if the lizard was to lose a toe or foot naturally. Each lizard has a unique and permanent scale pattern which can be used to identify individual lizards. The proposed method involves a novel technique to derive a signature curve from the Hough transform output of the lizard scale pattern such that the signature curve is scale and shift invariant. It has been found that a lizard can be successfully identified by comparing its signature curve with those signature curves of all registered lizards stored in a database.
  • Keywords
    Hough transforms; pattern recognition; zoology; Hough transform output; endangered pygmy bluetongue lizard; noninvasive lizard identification; scale pattern; signature curves; toe clipping method; Adaptive equalizers; Biology; Computer science; Databases; Digital images; Foot; Head; Histograms; Image edge detection; Mathematics; Hough transform; lizard identification; non-invasive; signature curve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2009 - 2009 IEEE Region 10 Conference
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-4546-2
  • Electronic_ISBN
    978-1-4244-4547-9
  • Type

    conf

  • DOI
    10.1109/TENCON.2009.5395852
  • Filename
    5395852