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Preprints of the Keldysh Institute of Applied Mathematics, 2019, 124, 14 pp.
DOI: https://doi.org/10.20948/prepr-2019-124
(Mi ipmp2762)
 

Recognition of symbols by the method of polynomial regression

M. B. Gavrikov, N. V. Pestryakova
References:
Abstract: A statistical classification method is described that has probabilistic estimates based on a polynomial-regression approach. This method is trained and tested on various sets of printed and hand-printed characters. It has high speed, high accuracy, monotonicity (reliability) of estimates. Its computational structure provides the possibility of parallelization. A problem of resistance to distortion is considered.
Keywords: classification, polynomial regression, printed and hand-printed symbols.
Document Type: Preprint
Language: Russian
Citation: M. B. Gavrikov, N. V. Pestryakova, “Recognition of symbols by the method of polynomial regression”, Keldysh Institute preprints, 2019, 124, 14 pp.
Citation in format AMSBIB
\Bibitem{GavPes19}
\by M.~B.~Gavrikov, N.~V.~Pestryakova
\paper Recognition of symbols by the method of polynomial regression
\jour Keldysh Institute preprints
\yr 2019
\papernumber 124
\totalpages 14
\mathnet{http://mi.mathnet.ru/ipmp2762}
\crossref{https://doi.org/10.20948/prepr-2019-124}
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  • https://www.mathnet.ru/eng/ipmp2762
  • https://www.mathnet.ru/eng/ipmp/y2019/p124
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