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JOURNALS // Informatsionnye Tekhnologii i Vychslitel'nye Sistemy // Archive

Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2014 Issue 4, Pages 25–32 (Mi itvs169)

IMAGE PROCESSING TECHNIQUES

On applicability of methods of recognition to research of statistical properties of sets of symbols

M. B. Gavrikova, N. V. Pestryakovab

a Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Moscow
b Institute for Systems Analysis of Russian Academy of Sciences

Abstract: Effective annexes of a probabilistic high-precision method of recognition to a task of the analysis of statistical properties of sets of symbols are described.

Keywords: classification, polynomial regression, printed and hand-printed symbols.



© Steklov Math. Inst. of RAS, 2026