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Avtomatika i Telemekhanika, 2021, Issue 11, Pages 3–15
DOI: https://doi.org/10.31857/S0005231021110015
(Mi at15825)
 

Topical issue (end)

Character skeleton as a pen trace model for recognition from reconstructed trace

S. P. Arseev, L. M. Mestetskiy

Lomonosov Moscow State University, Moscow, 119991 Russia
References:
Abstract: The article studies the handwriting recognition problem and the reduction of the text recognition problem from a text image to the text recognition problem from the trace of a pen writing the text. We propose a method based on a medial representation and reconstructing the pen trace from the handwritten text image. The method is substantiated based on an experimental study of character recognition from character images and from the reconstructed and true pen traces.
Keywords: deep learning, convolutional neural network, recurrent neural network, skeleton, character recognition, handwriting recognition.
Funding agency Grant number
Russian Foundation for Basic Research 20-01-00664
This work was supported by the Russian Foundation for Basic Research, project no. 20-01-00664.
Presented by the member of Editorial Board: A. A. Lazarev

Received: 20.01.2021
Revised: 15.06.2021
Accepted: 30.06.2021
English version:
Automation and Remote Control, 2021, Volume 82, Issue 11, Pages 1835–1845
DOI: https://doi.org/10.1134/S0005117921110011
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. P. Arseev, L. M. Mestetskiy, “Character skeleton as a pen trace model for recognition from reconstructed trace”, Avtomat. i Telemekh., 2021, no. 11, 3–15; Autom. Remote Control, 82:11 (2021), 1835–1845
Citation in format AMSBIB
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\by S.~P.~Arseev, L.~M.~Mestetskiy
\paper Character skeleton as a pen trace model for recognition from reconstructed trace
\jour Avtomat. i Telemekh.
\yr 2021
\issue 11
\pages 3--15
\mathnet{http://mi.mathnet.ru/at15825}
\crossref{https://doi.org/10.31857/S0005231021110015}
\transl
\jour Autom. Remote Control
\yr 2021
\vol 82
\issue 11
\pages 1835--1845
\crossref{https://doi.org/10.1134/S0005117921110011}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000733324700001}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85121550110}
Linking options:
  • https://www.mathnet.ru/eng/at15825
  • https://www.mathnet.ru/eng/at/y2021/i11/p3
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    Avtomatika i Telemekhanika
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    References:22
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