A Model of On-line Handwritten Japanese Text Recognition Free from Line Direction and Writing Format Constraints

9 Citations 11 References
  • NAKAGAWA Masaki
    Graduate School of Engineering, Tokyo University of Agriculture and Technology
  • ZHU Bilan
    Graduate School of Engineering, Tokyo University of Agriculture and Technology
  • ONUMA Motoki
    Graduate School of Engineering, Tokyo University of Agriculture and Technology

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Description

This paper presents a model and its effect for on-line handwritten Japanese text recognition free from line-direction constraint and writing format constraint such as character writing boxes or ruled lines. The model evaluates the likelihood composed of character segmentation, character recognition, character pattern structure and context. The likelihood of character pattern structure considers the plausible height, width and inner gaps within a character pattern that appear in Chinese characters composed of multiple radicals (subpatterns). The recognition system incorporating this model separates freely written text into text line elements, estimates the average character size of each element, hypothetically segments it into characters using geometric features, applies character recognition to segmented patterns and employs the model to search the text interpretation that maximizes likelihood as Japanese text. We show the effectiveness of the model through recognition experiments and clarify how the newly modeled factors in the likelihood affect the overall recognition rate.

Journal

  • IEICE Trans. Inf&Syst., D

    IEICE Trans. Inf&Syst., D 88 (8), 1815-1822, 2005-08-01

    The Institute of Electronics, Information and Communication Engineers

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Details 詳細情報について

  • CRID
    1571980077394433280
  • NII Article ID
    110003214382
  • NII Book ID
    AA10826272
  • ISSN
    09168532
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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