• DocumentCode
    457301
  • Title

    Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection

  • Author

    Inoue, Ryo ; Nakayama, Hidehisa ; Kato, Nei

  • Author_Institution
    Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1094
  • Lastpage
    1097
  • Abstract
    In this paper, we propose a method to compose a classifier by non-linear discriminant analysis using kernel method combined with kernel feature selection for holistic recognition of historical hand-written string. Through experiments using historical hand-written string database HCD2, we show that our approach can obtain high recognition accuracy comparable to that of individual character recognition
  • Keywords
    feature extraction; handwritten character recognition; history; pattern classification; HCD2; historical handwritten string database; historical handwritten string recognition; kernel feature selection; nonlinear discriminant analysis; Character recognition; Feature extraction; Image recognition; Information analysis; Kernel; Noise shaping; Pattern recognition; Shape; Smoothing methods; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.629
  • Filename
    1699399
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=457301