Feature based leaf identification

Eyes are the important sense organ of human body. It allows visual perception by reacting to light and pressure. Human eyes are capable to differentiate approximate 10 million colors. It contains more than 2 million tissues and cells. Therefore human eyes are known as a prominent sense organ but sometimes it get confused to identify the things which are approximately similar in appearance but actually different. One of the common example is differentiating the Azadirachta indicaneem (Neem) tree and Melia azedarach (Bakain) tree leaves. As bakain tree is slightly harmful if consumed thus it is essential to distinguish between these two leaves. Therefore, an automated approach have been proposed to distinguish between neem tree leaves and bakain tree leaves with the help of texture features of the leaves and then classifying them in different categories by using machine learning. The performance of proposed approach by using tree classifier is 99.8%, which is found better with respect to the other classifiers like k-NN, SVM, etc.