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| Plant Leaf Identification Based on Radial Basis Probabilistic Neural Network |
| DU JiXiang1,2,3, WANG ZengFu1 |
1.Department of Automation, University of Science and Technology of China, Hefei 2300262.
Intelligent Computing Laboratory, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 2300313.
Department of Computer Science and Technology, Huaqiao University, Quanzhou 362021 |
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Abstract In this paper, a plant species identification approach is proposed based on Gabor features and radial basis probabilistic neural network (RBPNN). The multiscale Gabor wavelet transform is applied to extract the texture features. The experimental results show that the RBPNN achieves high recognition rates and classification efficiency by using radial basis function neural network (RBFNN) for the plant species recognition and identification task.
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Received: 30 January 2006
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2008, Vol. 21 
