Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Application of Multi Parallel GAP to Rotation-Invariant Pattern Recognition

Multi Parallel GAP(Genetic Algorithm Processor)를 이용한 회전 불변 패턴 인식에의 응용

  • 조민석 (인하대학교 전자전기컴퓨터공학부 집적회로연구실) ;
  • 허인수 (인하대학교 전자전기컴퓨터공학부 집적회로연구실) ;
  • 이주환 (인하대학교 전자전기컴퓨터공학부 집적회로연구실) ;
  • 정덕진 (인하대학교 전자전기컴퓨터공학부 집적회로연구실)
  • Published : 2001.06.01
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Abstract

In this paper, we applied the high-performance PGAP(Parallel Genetic Algorithm Processor) to recognizing rotated pattern. In order to perform this research efficiently, we used Multi-PGAP system consisted of four PGAP. In addition, we used mental rotation based on the rotated pattern recognition mechanism of human to reduce the number of operation. Also, we experimented with distinguishing specific pattern from similar coin patterns and determine rotated angle between patterns. The result showed that the development of future artificial recognition system is feasible by employing high performance PGAPS.

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