• DocumentCode
    535433
  • Title

    Study on RMB number recognition based on genetic algorithm artificial neural network

  • Author

    Zhao, Ting-ting ; Zhao, Ji-yin ; Zheng, Rui-rui ; Zhang, Lu-lu

  • Author_Institution
    Coll. of Sci., Zhejiang Univ., Hangzhou, China
  • Volume
    4
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1951
  • Lastpage
    1955
  • Abstract
    BP artificial neural network based on genetic algorithm training method was proposed in this paper to solving Renminbi (RMB) number recognition and artificial neural network BP algorithm problems in order to satisfy the technical requirements of financial sector sorter. The BP artificial neural network based on genetic algorithm training method combined the global search ability of genetic algorithm and local search ability of BP algorithm. Genetic operators such as selection, crossover and mutation were studied and chosen according to the object. Experiments show that RMB number recognition based on genetic algorithm and BP artificial neural network improves recognition accuracy and speed, and provide a new means of RMB number recognition.
  • Keywords
    backpropagation; financial data processing; genetic algorithms; image recognition; neural nets; BP artificial training method; RMB number recognition; Renminbi; artificial neural network; financial sector sorter; genetic algorithm; local search ability; Accuracy; Artificial neural networks; Convergence; Equations; Image recognition; Pattern recognition; Training; BP algorithm; RMB number recognition; artificial neural network; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5648046
  • Filename
    5648046