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Recognition of symbols by the method of polynomial regression
M. B. Gavrikov, N. V. Pestryakova
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.
Citation:
M. B. Gavrikov, N. V. Pestryakova, “Recognition of symbols by the method of polynomial regression”, Keldysh Institute preprints, 2019, 124, 14 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp2762 https://www.mathnet.ru/eng/ipmp/y2019/p124
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