A method based on rough set and SOFM neural network for the car's plate character recognition

摘要

Combining rough set theory and self-organizing feature map (SOFM) neural network, a method was presented for the car's plate character recognition. The features of the training samples were extracted to build up the decision table; the discretization algorithm of decision attributes was proposed based on the clustering ability of SOFM network; the rough set theory was applied to reduce the decision table. Finally, the reduced decision attributes were used to construct neural network recognizing machine. The method can reduce the numbers of attributes in the decision table, simplify the structure of neural network and improve the ability of generality. The experiment results of the car's plate character recognition show that the algorithms are practical and effective.