Research on Method of Character Recognition Based on Hough Transform and RBF Neural Network

被引：0
|
作者：
Zhang Yin [1 ,2 ]
Chen Guangyu [1 ]
Zhang Lei [1 ]
Li Huixin [1 ]
Wang Dongyun [1 ]
机构：
[1] Qinhuangdao Inst Technol, Qinhuangdao, Hebei, Peoples R China
[2] Yanshan Univ, Coll Mech Engn, Qinhuangdao, Hebei, Peoples R China
来源：
2015 7TH INTERNATIONAL CONFERENCE ON MECHANICAL AND ELECTRONICS ENGINEERING (ICMEE 2015) | 2015年 / 31卷
关键词：
D O I：
10.1051/matecconf/20153116001
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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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页数：5
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