Differential Evolution (DE) method is introduced in this paper to make up the insufficiency of basic probabilistic neural
network. Consequently, a new texture image recognition method based on Modified Probabilistic Neural Network
(MPNN) is proposed. At first, tree structure wavelet packet transformation is used to extract the energy characteristic,
and statistical method is used to extract the statistical mean value, average energy, standard deviation, and mean residual
characteristics for obtaining the feature vector; then the feature vector of texture image is trained by the MPNN, thus the
texture image is identified. The experiment result indicates that, compared to the BP neural network, RBF neural
network, and the basic probabilistic neural network, the modified probabilistic neural network has higher accuracy and
faster convergence speed.