Pattern Recognition Using Attributed Grammar

속성문법에 의한 물체인식

  • Yim, Seung-Cheol (Department of Electronics, Chung Nam National University) ;
  • Kim, Tae-Kyun (Department of Electronics, Chung Nam National University) ;
  • Kwon, Oh-Suk (Department of Electronics, Chung Nam National University)
  • 임승철 (충남대학교 전자공학과) ;
  • 김태균 (충남대학교 전자공학과) ;
  • 권오석 (충남대학교 전자공학과)
  • Published : 1988.07.01

Abstract

This paper describes the method of syntactic-semantic pattern recognition and description for two dimensional object which is adjusted or changed in size and its orientation. To avoid the complexity and ambiguity which is arised in the case of syntactic or decision-theoretic method is used individually, an attributed grammar is introduced which applies computative attributes to pattern primitives, and then uses decision-theoretic method for attributes and syntactic method for pattern structure. A primitive extraction embedding parsing and grobal rule for classification is also applied for more effective pattern recognition and description.

Keywords