구문론과 의미론적 방법을 이용한 지문분류

A Syntactic and Semantic Approach to Fingerprints Classification

  • 최영식 (연세대학교 전자공학과) ;
  • 신태민 (연세대학교 전자공학과) ;
  • 임인식 (연세대학교 전자공학과) ;
  • 박규태 (연세대학교 전자공학과)
  • 발행 : 1987.07.03

초록

A syntactic and semantic approach is used to make type classification based on feature points(whorl, delta, core) and the shape of flow line around feature points. The image is divided into 30 by 30 subregions which are represented in the average direction and 4-tuple direction component. Next the relaxation process with singularity detection and convergency checking is performed. A set of semantic languages is used to describe the major flow line around the extracted feature points. LR(1) parser and feature transfer function are used to recognize the coded flow patterns. The 72 fingerprint impressions is used to test the proposed approach and the rate of the classification is about 93 percentages.

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