A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network

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In this paper, we employ Probabilistic Neural Network (PNN) with image and data processing techniques to implement a general purpose automated leaf recognition algorithm. 12 leaf features are extracted and orthogonalized into 5 principal variables which consist the input vector of the PNN. The PNN is trained by 1800 leaves to classify 32 kinds of plants with an accuracy greater than 90%. Compared with other approaches, our algorithm is an accurate artificial intelligence approach which is fast in execution and easy in implementation.
6 pages, 3 figures, 2 tables

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Artificial Intelligence, I.5.4

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http://salesiana.dossiersoluciones.com/handle/123456789/135217

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0707.4289
 http://arxiv.org/abs/0707.4289

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arXiv