Title :
Character Recognition Based on Improved BP Neural Network
Author :
Wei Zhao ; Mingyu Gao ; Zhi Wei He
Author_Institution :
Dept. of Electron. Inf., HangZhou DianZi Univ., Hangzhou, China
Abstract :
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.
Keywords :
automatic meter reading; backpropagation; character recognition; image colour analysis; image segmentation; neural nets; BP neural network; automatic meter reading; character recognition; character segmentation; gray transition; image preprocessing; image scanning; morphology; Character recognition; Image recognition; Image segmentation; Morphology; Neural networks; Noise; Training; BP neural network; Character Recognition; Morphology; projecting method;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/IMCCC.2013.168