Experiments with rough set approach to face recognition

Authors:
Xuguang Chen;Wojciech Ziarko
Affiliations:
Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2;Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2
Venue:
International Journal of Intelligent Systems
Year:
2011

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Abstract

This paper reports our experiences with the application of the hierarchy of probabilistic decision tables to face recognition. The methodology underlying the classifier development for our experiments is the variable precision rough sets, a probabilistic extension of the rough set theory. The soft-cut and probabilistic distance-based classifier method, the related theoretical background, including the feature extraction technique based on the principal component analysis, and some experimental results are presented. © 2011 Wiley Periodicals, Inc. © 2011 Wiley Periodicals, Inc.