• DocumentCode
    1604985
  • Title

    A robust flight coupon recognition system based on multi neural network

  • Author

    Luo, Zhimin ; Wang, Zhiyan ; Li, Yi

  • Author_Institution
    Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    3
  • fYear
    2004
  • Firstpage
    1133
  • Abstract
    It is essential to recognize the flight coupon information rapidly and correctly in the modernization and information construction of civil aviation. Flight coupons are usually with complex background and multifont. In order to achieve a high recognition rate and reliability, we have designed our recognition system based on multi neural network. Both the back propagation neural network and the convolutional neural network are used in our multi neural network model, and this model can successfully discriminate the classes with similar features. As a real-time recognition system, we have a high character recognition speed. In this paper, we present the solution and the experimental result of the system.
  • Keywords
    aerospace; backpropagation; character recognition; neural nets; back propagation neural network; character recognition speed; civil aviation; convolutional neural network; multineural network; real-time recognition system; robust flight coupon recognition system; Aerospace engineering; Character recognition; Computer science; Convolution; Databases; Neural networks; Optical character recognition software; Pattern recognition; Real time systems; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8662-0
  • Type

    conf

  • DOI
    10.1109/ICIT.2004.1490719
  • Filename
    1490719