Quintessential Aspects of Machine Learning Algorithms used for Animal Species Classification

Abstract

Species classification is an essential step of many biological researches. Manual processing of images for species identification and classification is highly time consuming. Manual processing is error prone also. Due to high noise level of input images preprocessing is also a challenging task. This paper mathematically analyses some of the algorithms which can be best utilized for species classification. This paper studies the working theo- ries of those algorithms and also discusses the applicability in species classification area. These machine learning algorithms are highly capable of making significant contribution to the animal species classification area.