학술논문
Identification of Olive Ridley Turtle Using Feature Extraction
Document Type
Conference
Author
Source
2014 International Conference on Intelligent Computing Applications Intelligent Computing Applications (ICICA), 2014 International Conference on. :69-72 Mar, 2014
Subject
Language
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.