Learning samples significantly affect the recognition ability of neuron network models.One of selecting rules of learning samples is proposed according to the principle of the pattern recognition model.A method of selecting learning samples based on Hamming distance used in the cascade neuron network model for rotation invariance recognition is analyzed.The results of the computer recognition show that the effective selection of the learning samples can not only reduce the training time but also improve the recognition ability of the model.