Classification and Recognition of Plant Leaf Based on Neural Networks

Ping Ye; Gui Rong Weng

doi:10.4028/www.scientific.net/KEM.464.38

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 464Classification and Recognition of Plant Leaf Based...

Classification and Recognition of Plant Leaf Based on Neural Networks

Abstract:

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

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Periodical:

Key Engineering Materials (Volume 464)

Pages:

38-42

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.464.38

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Online since:

January 2011

Authors:

Ping Ye, Gui Rong Weng

Keywords:

Fractal Dimension, Moment Invariant, Neural Network (NN), Plant Leaf

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References

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