Character Recognition Based on Improved BP Neural Network

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.