Parallel Architectures, Algorithms and Programming, International Symposium on (2011)
Dec. 9, 2011 to Dec. 11, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PAAP.2011.23
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.
Neural network, character, Recognition
Yingqiao Shi, Wenbing Fan, Guodong Shi, "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