The protection of wildlife and forests is a major responsibility of human being. Forest’s officials use to keep track of all movements by each tiger. They used radio collars to track the tiger. But all tigers are not collared. Because collaring a tiger is a tough job. Another method is to track tiger is through their pugmarks. Forest people can identify the tiger by identify their pugmarks. This paper is presenting method for identifying tiger through their pugmarks using image processing techniques. The pugmarks for 6 different tigers were collected from the forest. The images of pugmarks were analyzed and database of identified parameters have been created. The identification is based on matching of parameters stored in database. The recognition rate of algorithm is 93%.
Image processing, pugmark detection, neural network, machine learning.
Ashwaray Raj; Pramila Choudhary; Preetam Suman, Identification of Tigers through their Pugmark using Pattern Recognition, HCTL Open International Journal of Technology Innovations and Research (IJTIR), Volume 15, May 2015, eISSN: 2321-1814, ISBN (Print): 978-1-62951-974-6.