Classification and Recognition of Plant Leaf Based on Neural Networks

Abstract:

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This paper proposed a novel method for leaf classification and recognition. In the method, the moment invariant and fractal dimension were regarded as the characteristic parameters of the plant leaf. In order to extract the representative characteristic parameters, pretreatment of the leaf images, including RGB-gray converting, image binarization and leafstalk removing. The extracted leaf characteristic parameters were further utilized as training sets to train the neural networks. The proposed method was proved effectively to reach a recognition rate about 92% for most of the testing leaf samples

Info:

Periodical:

Edited by:

Long Chen, Yongkang Zhang, Aixing Feng, Zhenying Xu, Boquan Li and Han Shen

Pages:

38-42

DOI:

10.4028/www.scientific.net/KEM.464.38

Citation:

P. Ye and G. R. Weng, "Classification and Recognition of Plant Leaf Based on Neural Networks", Key Engineering Materials, Vol. 464, pp. 38-42, 2011

Online since:

January 2011

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Price:

$35.00

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