A neural network recognition system for machine printed characters on coils

T. Yanagita, T. Tanaka, A. Toshima
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引用次数: 5

Abstract

A new system applying the inherent pattern recognition capability of a neural network has been developed for the task of recognizing machine printed alphanumerics on steel coils. The system has been used in the newly constructed No.2 Kashima cold strip mill (2KCM) since April 1993 and has contributed to fully automatic operation in the 2KCM. The system is 100% accurate in detecting coils that have been transported by mistake, and can do so within a few seconds.
一种用于机器在线圈上打印字符的神经网络识别系统
本文提出了一种利用神经网络固有模式识别能力对钢卷机械印刷字母数字进行识别的新系统。自1993年4月以来,该系统已在新建的2号鹿岛冷带钢轧机(2KCM)上使用,并为2KCM的全自动操作做出了贡献。该系统在检测错误输送的线圈时100%准确,并且可以在几秒钟内完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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