手写体数字识别的聚类方法研究

2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI:10.1109/ICINIS.2010.130

Ye Xu, Wei Zhang

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引用次数: 5

摘要

本文研究了一种手写体数字识别的聚类方法。首先对数字样本进行处理，提取特征;基于这些特征，设计并实现了一种聚类方法对数字样本进行聚类。实验结果表明，聚类方法在手写体数字识别中是有效的。

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On a Clustering Method for Handwritten Digit Recognition

In this paper, a clustering method for handwritten digit recognition is studied. The digit samples, firstly are processed and features are extracted. Based on these features, a clustering method is designed and implemented to cluster the digit samples. Experiments finally show that the clustering method is efficient in handwritten digit recognition.

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来源期刊

2010 Third International Conference on Intelligent Networks and Intelligent Systems

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