ベクトル場に基づく自動手書き文字認識  [in Japanese] Automated Handwritten Characters Recognition Based on a Vector Field  [in Japanese]

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Author(s)

Abstract

In order to obtain a low computational cost method for automatic handwritten characters recognition, this paper proposes a combined system of two rough classification methods based on features of a vector field: one is an autocorrelation matrix method, and another is a low frequency Fourier expansion method. In each method, the similarity is defined as a weighted sum of the squared values of the inner product between input pattern and the reference patterns that are normalized eigenvectors of KL (Karhunen-Loeve) expansion. This paper also describes a way of deciding the weight coefficients using Linear Regression Method, and shows the effectiveness of the proposed method by illustrating some experimentation results for 3036 categories of handwritten Japanese characters.

Journal

  • IEEJ Transactions on Electronics, Information and Systems

    IEEJ Transactions on Electronics, Information and Systems 127(4), 489-496, 2007

    The Institute of Electrical Engineers of Japan

Codes

  • NII Article ID (NAID)
    130000090503
  • NII NACSIS-CAT ID (NCID)
    AN10065950
  • Text Lang
    JPN
  • Article Type
    特集
  • ISSN
    0385-4221
  • NDL Article ID
    8774451
  • NDL Source Classification
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL Call No.
    Z16-795
  • Data Source
    NDL  J-STAGE 
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