Image recognition model combining rough set with neural network
Yong Zhong · Computer Engineering and Applications Journal · 2010
Through analyzing effect of rough set and neural network in image recognition,and researching possibility of combination of both,this paper combines the rough set and neural networks effectively and proposes an image recognition model based on rough set and neural network.The model firstly preprocesses original data of image,then selects features by means of rough set,so it decreases the input dimension of the neural networks and enhances the speed of neural networks studying and distinguishing,and also improves identification rightness rate.Finally,the model is applied to the image of script number classification.The result shows that the method is effective and feasible.