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Experiments with rough set approach to face recognition

✍ Scribed by Xuguang Chen; Wojciech Ziarko

Publisher: John Wiley and Sons
Year: 2011
Tongue: English
Weight: 128 KB
Volume: 26
Category: Article
ISSN: 0884-8173
DOI: 10.1002/int.20481

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✦ Synopsis

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.

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