Structure of Neural Network for Industrial Character Recognition

Abstract

Neural Networks to recognize industrial characters are required to achieve high reading reliability. To achieve this high reliability, a method to control the structure of neuron network's hidden layer has been introduced. The neural network is applied to an assembled PCB (Printed Circuit Board) visual inspection system and proved its high performance. The analysis of this network showes it has a desired structure.