Title :
Gerber-character recognition system of auto-teaching program for PCB assembly machines
Author :
Oh, Hae-Won ; Jung, Jin-He ; Park, Tae-Hyung
Author_Institution :
Dept. of Control & Instrum. Eng., Chungbuk Nat. Univ., South Korea
Abstract :
The Gerber file is the vector-formatted drawing file for PCB manufacturing, which includes various symbols, figures and characters. We propose the character recognition system for Gerber files. The characters included in the Gerber file are written in horizontal, vertical, and reverse-vertical directions. In this paper, we newly propose the Gerber-character recognition system to recognize all of component names located in PCB. To improve the performance, we develop the multiple recognizers by neural networks and the verifier considering the structural features. The developed system has been installed to the auto-programming software for PCB assembly and inspection machines.
Keywords :
assembling; character recognition; computer aided manufacturing; computerised instrumentation; neural nets; pattern classification; printed circuit manufacture; surface mount technology; Gerber-character recognition system; PCB assembly machine; PCB inspection machine; PCB manufacturing; auto-teaching program; computer aided manufacturing; neural network recognizer; printed circuit board; surface mount technology; vector-formatted drawing file;
Conference_Titel :
SICE 2004 Annual Conference
Conference_Location :
Sapporo
Print_ISBN :
4-907764-22-7
