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Parallel Architectures, Algorithms and Programming, International Symposium on (2011)
Tianjin, China
Dec. 9, 2011 to Dec. 11, 2011
ISBN: 978-0-7695-4575-2
pp: 119-122
ABSTRACT
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.
INDEX TERMS
Neural network, character, Recognition
CITATION
Guodong Shi, Yingqiao Shi, Wenbing Fan, "The Research of Printed Character Recognition Based on Neural Network", Parallel Architectures, Algorithms and Programming, International Symposium on, vol. 00, no. , pp. 119-122, 2011, doi:10.1109/PAAP.2011.23
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