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《Communications Technology》 2009-06
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Off-ling Handwritten Recognition Algorithm based on Hopfield

HE Han-hua(Henan College of Finance and Taxation,Zhengzhou Henan 450002,China)  
Off-line handwritten digit recognition has a broad application prospect in many domains,and scholars both at home and abroad have done much research work on this.Many preprocessing algorithms and pattern recognition algorithms are proposed,the accuracy of handwritten digit recognition is thus greatly enhanced.To improve the accuracy of handwritten digit recognition,Hopfield neural network is applied to handwritten digit recognition and analysis.The energy in "Energy function" of Hopfield neural network has the characteristic of gradually reducing and finally tending to be stable balanced state.Furthermore,once the network is established,it could automatically move without any training.
【CateGory Index】: TP391.43
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