Research on Method of Character Recognition Based on Hough Transform and RBF Neural Network
1 Qinhuangdao Institute of Technology in Qinhuangdao, Hebei, China
2 College of Mechanical Engineering Yanshan University in Qinhuangdao, Hebei, China
a Corresponding author: Zhang Yin, firstname.lastname@example.org
A method of character recognition based on Hough transform and RBF neural network is proposed through research on weight accumulation algorithm of Hough transform. According to the feature of characters’ structure by using the duality of point-line Hough transform was done. In this method, the number of the points on the same line in parameter space and the position coordinates of the elements in image mapping space were taken to RBF neural network recognition system as characteristic input vector. It reduced the dimension of character feature vector and reflected the overall distribution of character lattice and the essential feature of character shape. The simulation results indicated there were some merits in this improved method: capability of recognition is strong, the quantity of calculation is small, and the speed of calculation is quick.
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