基于ica的逆FDA FKP识别

2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2018-05-01 DOI:10.1109/YAC.2018.8406376

Zhongxi Sun

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引用次数: 2

摘要

ICA关注变量之间的高阶依赖关系。本文提出了一种将逆FDA与ICA相结合的特征提取方法。将ICA应用于样本图像，提供高阶统计信息和降维。逆FDA用于鉴别。在FKP数据库上的实验结果表明，该方法是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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FKP recognition using ICA-based inverse FDA

ICA concerns high-order dependencies between variables. In this paper, a new feature extraction method is proposed by combining Inverse FDA with ICA. ICA is applied to sample images to provide the high-order statistical information and reduce dimension. Inverse FDA is used for discrimination. Experimental results on FKP database show that our proposed method is efficient.

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2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)

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