• DocumentCode
    2525649
  • Title

    Multiple recognizers system using two-stage combination

  • Author

    Paik, Jonghyun ; Cho, Sung-Bae ; Lee, Kwanyong ; Lee, Yillbyung

  • Author_Institution
    Dept. of Comput. Eng., Yonsei Univ., Seoul, South Korea
  • Volume
    4
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    581
  • Abstract
    Most of the multiple recognizers system use a single combination method, therefore recognition performance depends on the characteristics of selected combination method. In order to solve this dependency problem and to increase recognition performance, we propose a new combination architecture of multiple recognizer that has two combination stages. The proposed system consists of three stages: 1) the recognition stage including 5 recognizers, 2) the first combination stage including 3 combinators which belong to different level, and 3) the combination stage including a simple combinator. We verify the performance of the proposed system using two standard handwritten digit database, CEDAR and CENPARMI, and recognition performance is better than other single combinator systems
  • Keywords
    Bayes methods; character recognition; feature extraction; multilayer perceptrons; visual databases; Bayes method; Borda function; CEDAR; CENPARMI; character recognition; combination architecture; feature extraction; handwritten digit database; multilayer perceptron; multiple recognizers system; two-stage combination; Character recognition; Computer science; Databases; Feature extraction; Handwriting recognition; Image coding; Image recognition; Neural networks; Pixel; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.547631
  • Filename
    547631