Automatic Identification of Bird Species from the Image Through the Approaches of Segmentation

Abstract

This paper focus on the automatic identification of bird species from the images captured. Bird monitoring is crucial to perform many tasks, which include evaluating the quality of their living environment, to identify the birds under extinction, to find the migration rate of birds and to monitor the birds which may cause fatal damage to aircrafts near the airports, etc. This paper defines identification of bird species as the task to find the species of the bird from its outlook features. This paper identifies the bird species by implementing techniques named detection and segmentation algorithm which includes Laplacian propagation, histogram of oriented gradients, and support vector machine algorithm. The scope is that the algorithm proposed here is more efficient and is best among the other methods in the corresponding scenarios. The proposed method is also simpler and can be applied to various classes of objects such as birds, flowers, and animals.