Abstract
For the needs of the plant classification, the BP neutral network identification method has been researched based on the characters of the plant leaves veins in this paper. Firstly, the plant leaves image which achieved by the digital device is needed to be pretreated. Secondly, the leaves veins should be extracted by the Canny edge detection, and we use the leaves veins’ binary image to figure out the seven Hu invariant moment. Finally, the seven invariant moment is used to be the input of the BP neutral network to classify the plant leaves. The arithmetic is work out under the integrated environment of MATLAB, and the test result shows that the correct identification rate of the five different plant leaves’ types could reach 96.67%. The identification method is high in rate of correction rate and is easy to implement. It not only can be widely used in the classification research of the plant, but also could improve the accuracy of the plant classification.
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