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Developmental Research for Hand-Written Caracter-Recognition Systems Based on Cellular Networks

Research Project

Project/Area Number 59880003
Research Category

Grant-in-Aid for Developmental Scientific Research

Allocation TypeSingle-year Grants
Research Field Informatics
Research InstitutionTohoku University

Principal Investigator

KIMURA Masayuki  東北大学, 工, 教授 (50006219)

Project Period (FY) 1984 – 1985
Project Status Completed (Fiscal Year 1985)
Budget Amount *help
¥12,600,000 (Direct Cost: ¥12,600,000)
Fiscal Year 1985: ¥3,800,000 (Direct Cost: ¥3,800,000)
Fiscal Year 1984: ¥8,800,000 (Direct Cost: ¥8,800,000)
KeywordsCharacter recognition / Hand-written Chinese character / Classification algorithm / Pattern-matching / セル構造回路網
Research Abstract

The purpose of the project is to establish the fundamental technique for recognizing hand-written characters by making such a system that may recognize especially hand-written Chinese characters at a practically useful rate of correctness.
To attain the purpose, first we developed a set of cellular networks that enable to normalize characters in size, extract strokes of characters, thin each strok in an unit of thichness, and extract grobal features of characters in a sufficiently high speed. Next we investigated how to use the extracted features of Chinese characters in order to classify them into an appropriate number of groups each one of which consists of similar characters in a sense, and worked out an algorithm which made such a classification possible at a high rate of correctness.
The algorithm devides the feature represented in the form of a vector into a number of parts or sub-vectors, classifies characters with every sub-vector and finally unifies all the classifications obtained by each sub-vector. This classification is the first stage of the character recognition and is very important in the sense that the speed or efficiency of the character recognition depends largely on the algotithm in this stage. Our algorithm enables the classification in a high speed and a high rate of correctness compared to various pattern-matching algorithms used up to now.
Finally we have developed the hand-written character recognition system that consist of the set of cellular networks mentioned above and a set of micro-computers. It has been made clear by various tests of hand-written Chinese character recognition that the system will be very useful tool to establish the fundamental technique for hand-written character recognition.

Report

(1 results)
  • 1985 Final Research Report Summary
  • Research Products

    (9 results)

All Other

All Publications (9 results)

  • [Publications] 電子通信学会論文誌. 68A-1. (1985)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1985 Final Research Report Summary
  • [Publications] 電子通信学会論文誌. 68D-4. (1985)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1985 Final Research Report Summary
  • [Publications] 電子通信学会誌. 68-9. (1985)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1985 Final Research Report Summary
  • [Publications] 計測自動制御研究会知識工学シンポジウム資料. (1984)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1985 Final Research Report Summary
  • [Publications] 情報処理学会知識工学と人工知能研究会資料. (1984)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1985 Final Research Report Summary
  • [Publications] Trans. IECE of Japan. J68A-1. (1985)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1985 Final Research Report Summary
  • [Publications] Trans. IECE of Japan. J68D-4. (1985)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1985 Final Research Report Summary
  • [Publications] Trans. IECE of Japan. J68D-12. (1985)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1985 Final Research Report Summary
  • [Publications] IECE of Japan. J68-8. (1985)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1985 Final Research Report Summary

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Published: 1987-03-31   Modified: 2016-04-21  

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