Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Character Recognition System for Gerber File through Modularized Neural Network

모듈화된 신경회로망을 이용한 거버 문자 인식 시스템 구현

  • Oh, Hye-Won (Dept. of Control & Instrumentation Eng., Chungbuk National University) ;
  • Park, Tae-Hyong (School of Electrical & Computer Eng., Chungbuk National University)
  • 오혜원 (충북대학교 대학원 제어계측공학과) ;
  • 박태형 (충북대학교 전기전자컴퓨터공학부)
  • Published : 2003.07.21
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Abstract

We propose character recognition system for Gerber files. The Gerber file is the vector-formatted drawing file for PCB manufacturing. To consider the special vector format and rotated characters, we develop segmentation and feature extraction method. The modularized neural network is then applied to the recognition algorithm. Finally, comparative simulation results are presented to verify the usefulness of the proposed method.

Keywords