使用细胞神经网络的字符识别

6th Seminar on Neural Network Applications in Electrical Engineering Pub Date : 2002-12-10 DOI:10.1109/NEUREL.2002.1057983

N. Stanic, M. Potrebić, D. Durdevic, D. Dujković, P. Kostic

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引用次数: 2

摘要

报道了一个有效的字符识别程序。该程序采用了一种新的结构，该结构包含三个块:一个过滤器，一个带有细胞神经网络的块和一个用于检测的块。初步测试结果显示，数字识别率为94-100%。

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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Character recognition using a cellular neural network

An effective character recognition procedure is reported. The procedure uses a new architecture, that contains three blocks: a filter, a block with cellular neural network and a block for detection. An initial test result obtained shows 94-100% recognition rates for numerals.

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6th Seminar on Neural Network Applications in Electrical Engineering

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