A comparative study of elephant identification using Euclidean, Manhattan and Chebyshev distance metrics

The Elephant Identification System (EIS) is used to identify the elephants that roam around the villages near Forest region. The main aim of the Elephant Identification System is to reduce the Human Elephant Conflict (HEC) that occur major in the forest border areas and to identify the intrusion of the elephant into the villages. This system identifies the elephants among the presence of various species such as Bison, Rhinoceros and Hippopotamus. This system uses Euclidean distance, Manhattan distance and Chebyshev distance to compare images of same dimensions and to find threshold values to set in Elephant Identification System. A threshold value is necessary to separate the distance of elephant and other species. The comparative study based on the results of Euclidean Distance, Manhattan Distance and Chebyshev Distance for various parameters are done. By the results of this system, the intrusion of elephant are informed to the authorities through alert messages.