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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Generalized K-L transform based combined feature extraction
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Generalized K-L transform based combined feature extraction

机译:基于广义K-L变换的组合特征提取

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摘要

In this paper, we combine two kinds of features together by virtue of complex vectors and then use the developed generalized K-L transform (or expansion) for feature extraction. The experiments on NUST603 handwritten Chinese character database and CENPARMI handwritten digit database indicate that the proposed method can improve the recognition rate significantly. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 5]
机译:在本文中,我们借助复杂的矢量将两种特征组合在一起,然后使用已开发的广义K-L变换(或扩展)进行特征提取。在NUST603手写汉字数据库和CENPARMI手写数字数据库上的实验表明,该方法可以显着提高识别率。 (C)2001模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:5]

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