A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network

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dc.creatorWu, Stephen Gang
dc.creatorBao, Forrest Sheng
dc.creatorXu, Eric You
dc.creatorWang, Yu-Xuan
dc.creatorChang, Yi-Fan
dc.creatorXiang, Qiao-Liang
dc.date2007-07-29
dc.date.accessioned2026-07-07T08:20:57Z
dc.date.available2026-07-07T08:20:57Z
dc.descriptionIn 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.
dc.description6 pages, 3 figures, 2 tables
dc.identifierhttps://arxiv.org/abs/0707.4289
dc.identifierhttp://arxiv.org/abs/0707.4289
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/135217
dc.subjectArtificial Intelligence
dc.subjectI.5.4
dc.titleA Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network
dc.typetext

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