标题:2D Weighted Linear Discriminant Analysis and the application for feature extraction
作者:Li, Xueyong ;Lu, Changhou
通讯作者:Li, X
作者机构:[Li, Xueyong ;Lu, Changhou ] School of Mechanical Engineering, Shandong University, Jinan, China
会议名称:2010 International Conference on Machine Vision and Human-Machine Interface, MVHI 2010
会议日期:24 April 2010 through 25 April 2010
来源:2010 International Conference on Machine Vision and Human-Machine Interface, MVHI 2010
出版年:2010
页码:696-699
DOI:10.1109/MVHI.2010.21
关键词:2D linear discriminant analysis; Face recognition; Linear discriminant analysis; Pressed characters
摘要:A new technique named 2D Weighted Linear Discriminant Analysis (2DWLDA) is proposed for feature extraction. The main idea of 2DWLDA is to reconstruct the between-class scatter matrix and set weighted coefficients to the covariance matrixes of class pairs. The method for computing the project vectors and the structure of the weighted function are also inferred. The proposed method has effectively overcome the suboptimal problem of traditional Fisher criterion under multiple classes. Experiments on the Pressed Characters database and the ORL database show that the proposed method has significantly improved the recognition rate while reduce the discriminant vector's number when got the maximum recognition rate. © 2010 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956439518&doi=10.1109%2fMVHI.2010.21&partnerID=40&md5=5cedc64032d7b6998a73113bd3ef6616
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