Character recognition using a cellular neural network

N. Stanic, M. Potrebić, D. Durdevic, D. Dujković, P. Kostic
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引用次数: 2

Abstract

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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使用细胞神经网络的字符识别
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%。
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