Intelligent Recognition of Chelonioidea Sea Turtles

Abstract

The preservation of our natural environment and ecological system has recently become an alarming global concern due to the increase in worldwide pollution levels. Many agencies, governmental and non-governmental organizations are leading awareness campaigns of the dwindling ecosystem in various environments. One of these environments is marine life which forms an important integral part of realizing a self-sustaining ecosystem. Unfortunately, some marine dwellers such as Chelonioidea turtles are becoming endangered species. This is also partly due to lack of information on the more rare and mysterious Chelonioidea species; their habitats, traveling routes and tracks. There are eight species of these mysterious marine dwellers in the world. This paper presents a novel application that could aid in preserving the international marine life ecological system. Our intelligent identification system is based on pattern recognition and neural learning of visual information in sea turtles images. The system is scale and rotational invariant and thus can be successfully used in recognizing the species via their images.