Character Recognition Based On Improved BP Neural Network

被引：0
|
作者：
Zhao, Wei [1 ]
Gao, MingYu [1 ]
He, ZhiWei [2 ]
机构：
[1] HangZhou DianZi Univ, Dept Elect Informat, Hangzhou, Zhejiang, Peoples R China
[2] HangZhou DianZi Univ, Coll Informat Engn, Hangzhou, Zhejiang, Peoples R China
来源：
2013 THIRD INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC) | 2013年
关键词：
BP neural network; Character Recognition; Morphology; projecting method;
D O I：
10.1109/IMCCC.2013.168
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming to the problem that semi-characters seriously affect character recognition accuracy in the process of automatic meter reading, we proposed a new method to recognize characters automatically which is based on improved BP neural network. First, we preprocess the image with morphology and locate the character area by combining projecting method and the characteristics of the gray transition; then we scan the image to segment the characters; at last, we recognize the characters using improved BP neural network. Experiments turn out that the algorithm can not only recognize the complete characters but also incomplete characters.
引用
收藏
页码：754 / 757
页数：4
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