Comparative Study of Tiger Identification Using Template Matching Approach based on Edge Patterns
Eko Hariyanto, Muhammad Javed Iqbal, Andysah Putera Utama Siahaan, Kana Saputra Saragih, Supina Batubara · Journal of Physics Conference Series · 2019
Abstract The presence of tigers in residential areas as predators was a threat to humans and their livestock. Through digital image processing, these animals could be identified by matching line patterns on the skin as a characteristic of the tiger using the template matching method, namely comparing the similarities between the lines pattern in the reference image with the main image. However, the presence of plant leaves and shrubs with various shapes could disguise tiger skin line patterns so that it could affect the accuracy of identification results. In this paper, we conducted a comparative study to identify tigers based on edge lines which were then processed using three edge detection method namely Canny, Laplacian and Sobel. The results of each operator were further processed using template matching algorithm to get the accuracy of object identification (tiger).