Image recognition with a large database using method of directed enumeration alternatives modification

Authors:
Andrey V. Savchenko
Affiliations:
National Research University, Higher School of Economics, N. Novgorod, Russia
Venue:
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Year:
2011

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Abstract

A new modification of the method of directed alternatives' enumeration using theKullback-Leibler discrimination information is proposed for half-tone image recognition.Results of an experimental study in the problem of face images recognition with a large database are presented. It is shown that the proposed modification is characterized by increased speed of image recognition (5-10 times vs exhaustive search).