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Proceedings of 2009 International Workshop on Information Security and Application (IWISA 2009)

Qingdao, China, November 21-22, 2009

Editors: Feng Gao and Xijun Zhu

AP Catalog Number: AP-PROC-CS-09CN004

ISBN: 978-952-5726-06-0

Page(s): 368-371

Improved Maximum Scatter Difference Discriminant Analysis for Face Recognition

Shiliang Guan and Xiaodong Li

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An improved maximum scatter difference (MSD) criterion is proposed in this paper. Existing MSD model only highlights the role that within- class scatter matrix plays, while pays little attention to the action of between-class scatter matrix. Another weakness is that it is difficult to select an appropriate weight for within-class scatter matrix in that the range of weight is too large. In order to make MSD more suitable for classification, different weights are assigned to both between- class and within- class scatter matrix, respectively. This scheme is more convenient for operation than original MSD because it confine the range of parameter to a small area. The results of experiments conducted on AR and FERET face database indicate the effectiveness of the proposed approach.

Index Terms

Face recognition, Feature extraction, Maximum scatter difference (MSD), Weighted maximum scatter difference (WMSD)

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