Abstract
Leaf recognition has been gained an importance since the increment of intelligent applications in different platforms such as desktop and mobile. Each leaf contains unique distinct pattern on it that provides effective input for neural networks in order to recognize the type of the leaf correctly. In this paper, intelligent recognition system is presented to recognize and identify 27 different types of leaves using back propagation neural network and results show that the developed system is superior to recent researches with the recognition rate of 97.2%.
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