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In this paper a new approach is proposed to classify leafs in efficient and effective manner. In this approach, the features are extracted from edges of the leaf images and it is used two kinds of features which are edge based and shape based features for leaf classification. When the present method is tested on Flavia dataset, it gives the average classification accuracy rate of 94.37%. The Flavia...