An Approach to Numeral Recognition based on Improved LDA and Bhattacharyya Distance

机译：基于改进LDA和Bhattacharyya距离的数字识别方法

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This paper presents a novel pattern classification approach- improved LDA and Bhattacharyya distance based classifier for numeral recognition. Improved LDA is used as a dimensionality reduction technique that can estimate the within-class covariance and between-class matrices more accurately for classification purposes. Bhattacharyya distance utilizes the distribution characteristics of the samples in each class to improve the recognition performance. Experimental results conducted on UCI database show that the improved LDA combined with Bhattacharyya distance process achieves a good recognition performance using low feature dimensions.

机译：本文提出了一种新颖的模式分类方法 - 改进的LDA和基于Bhattacharyya距离的数字识别分类器。改进的LDA用作维度减少技术，可以更准确地估计阶级协方差和阶级之间的矩阵以进行分类目的。 BHATTACHARYYA距离利用每个类别中样品的分布特性来提高识别性能。在UCI数据库上进行的实验结果表明，改进的LDA与Bhattacharyya距离过程相结合，使用低特征尺寸实现了良好的识别性能。

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《International Symposium on Communications, Control and Signal Processing》|2008年||共3页
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Ying Wen; Pengfei Shi;
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中图分类 TN91-53;
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An Approach to Numeral Recognition based on Improved LDA and Bhattacharyya Distance

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