Title :
A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network
Author :
Wu, Stephen Gang ; Bao, Forrest Sheng ; Xu, Eric You ; Wang, Yu-Xuan ; Chang, Yi-fan ; Xiang, Qiao-Liang
Author_Institution :
Chinese Acad. of Sci., Changchun
Abstract :
In this paper, we employ probabilistic neural network (PNN) with image and data processing techniques to implement a general purpose automated leaf recognition for plant classification. 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.
Keywords :
biology computing; botany; feature extraction; image classification; learning (artificial intelligence); neural nets; object recognition; principal component analysis; probability; PCA; automated leaf recognition algorithm; feature extraction; plant classification; probabilistic neural network training; Artificial neural networks; Biology computing; Classification algorithms; Computer science; Feature extraction; Humans; Neural networks; Principal component analysis; Shape; Signal processing algorithms; Probabilstic Neural Network; feature extraction; leaf recognition; plant classification;
Conference_Titel :
Signal Processing and Information Technology, 2007 IEEE International Symposium on
Conference_Location :
Giza
Print_ISBN :
978-1-4244-1835-0
Electronic_ISBN :
978-1-4244-1835-0
DOI :
10.1109/ISSPIT.2007.4458016
