Computer Science – Artificial Intelligence
Scientific paper
2007-07-29
Computer Science
Artificial Intelligence
6 pages, 3 figures, 2 tables
Scientific paper
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.
Bao Forrest Sheng
Chang Yi-Fan
Wang Yu-Xuan
Wu Stephen Gang
Xiang Qiao-Liang
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