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
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;
Conference_Titel :
Intelligent Computing Applications (ICICA), 2014 International Conference on
Conference_Location :
Coimbatore
DOI :
10.1109/ICICA.2014.23