Leaves classification using Recurrent Neural network based on the edge features

Computer Engineering

Having information about the trees and plants is as important as of having information about the peoples. This may help us to maintain a database of the plants and trees, which can be helpful in many different processes like medicinal search, plant census and many more. Most of the times identifying a tree or a plant by its name may be difficult due to their complex and lengthier botanical terminology. So it is always an advantage to know about trees and plants by the shape of their leaves. As leaves are the most intricate features of trees that are like fingerprints of the trees, So considering leaves for the uniqueness of the tree census and other processes. By taking the advantage of the uniqueness of the plant leaves shape proposed system put forwards an idea of classifying plants leaves based on the morphology and Recurrent neural network. This technique is catalyzed by the using of Edge feature estimation and fuzzy classification model.

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