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《Computer Knowledge and Technology》 2009-05
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Application of a New Feature Extraction Method in Number Recognition

ZENG Xu-feng (School of Compter, Center South University of Forestry and Technology, Changsha 410004, China)  
By studying and analyzing many algorithms for handwritten digit recognition, this paper proposes a new algorithm for handwrit- ten digit recognition based on BP neural network. Firstly, the new algorithm applies a new feature vector extraction program, only need to extract each character 18 vector, which saves the time of the feature extraction. And then, uses the improved BP neural network for train- ing and recognition. The simulation results show that the improved method of digital identification has excellent adaptability, running speed and recognition rate than the traditional algorithms.
【CateGory Index】: TP391.41
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