A method of pattern recognition using rewriting rules

  • Authors:
  • Akira Kurematsu;Manabu Takeda;Seiichi Inoue

  • Affiliations:
  • Research Laboratory, Kokusai Denshin Denwa Co., Ltd., Tokyo, Japan;Research Laboratory, Kokusai Denshin Denwa Co., Ltd., Tokyo, Japan;Research Laboratory, Kokusai Denshin Denwa Co., Ltd., Tokyo, Japan

  • Venue:
  • IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
  • Year:
  • 1971

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Abstract

This paper presents a method of applying rewriting rules to the recognition of patterns, structure of which are sequentially connected and can be expressed as symbol strings. Rewriting rules, which play the part of a recognizer, are formulated in a hierarchical structure. Rule 1 normalizes the length of string and extracts properties, rule 2 transforms the deformed string in a context dependent way and rule 3 determines the category. A procedure for producing rules from given sample patterns based on the similarity between the symbols and a procedure for modifying the rules when input patterns are added are described. Experimental results of the recognition of Japanese spoken digits to illustrate the method are exhibited.