The Research of Printed Character Recognition Based on Neural Network

Firstly, This paper introduces the application status of the artificial neural network technology in the print character recognition, and then elaborated on the technology of Standard BP neural network. By formula derivation, we showed that Standard BP neural Network exists some defects in the appli...

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Bibliographic Details
Published in2011 Fourth International Symposium on Parallel Architectures, Algorithms and Programming pp. 119 - 122
Main Authors Yingqiao Shi, Wenbing Fan, Guodong Shi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2011
Subjects
Artificial neural networks
Biological neural networks
character
Character recognition
Neural network
Neurons
Recognition
Training
Vectors
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ISBN1457718081
9781457718083
ISSN2168-3034
DOI10.1109/PAAP.2011.23

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Summary:Firstly, This paper introduces the application status of the artificial neural network technology in the print character recognition, and then elaborated on the technology of Standard BP neural network. By formula derivation, we showed that Standard BP neural Network exists some defects in the application, and then we take the approach by adding a momentum term to improve the Network, and increases the training speed. Secondly, we randomly selecte 200 printed number-characters and 50 printed letter-characters as a sample of the improved BP neural network experiments, the results show that the method of the number-character recognition rate higher than the alphabetic characters, the performance of convergence speed and recognition is better.
ISBN:1457718081
9781457718083
ISSN:2168-3034
DOI:10.1109/PAAP.2011.23