• DocumentCode
    162531
  • Title

    Identification of Olive Ridley Turtle Using Feature Extraction

  • Author

    Baboo, S. Santhosh ; Vigneswari, A.R.J.

  • Author_Institution
    P.G & Res. Dept. of Comput. Sci., D.G.Vaishnav Coll., Chennai, India
  • fYear
    2014
  • fDate
    6-7 March 2014
  • Firstpage
    69
  • Lastpage
    72
  • Abstract
    The present study deals with identifying the particular species of olive ridleys turtle which is an endangered species among seven sea turtles worldwide. The existing method used for identification of turtles is tracking and tagging. Currently, identification is made only for the single turtle by feature extraction using mat lab software tool which is cheaper while compared to the existing method (Tracking and Tagging). Above all in s this method the time is saved and also the identification can be done for the group of turtles.
  • Keywords
    feature extraction; zoology; MATLAB software tool; endangered species; feature extraction; olive ridley turtle; sea turtles; tracking and tagging; Colored noise; Computer science; Educational institutions; Feature extraction; Image color analysis; Shape; Feature Extraction; Preprocessing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing Applications (ICICA), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICICA.2014.23
  • Filename
    6965013