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Informatika i Ee Primeneniya [Informatics and its Applications], 2012, Volume 6, Issue 4, Pages 49–56 (Mi ia232)  

This article is cited in 1 scientific paper (total in 1 paper)

Preprocessing of text recognition under the poor quality image

M. P. Krivenko

Institute for Problems of Informatics of RAS
Full-text PDF (415 kB) Citations (1)
References:
Abstract: The methods of preprocessing of text images including the skew correction and the line segmentation are discussed for the case where the recognizable image is of low quality being obtained with high resolution. Provided that the brightness of the pixel rows of characters differs, even slightly, from the brightness of the background pixels, the procedures for the skew correction and segmentation of the text lines are proposed and analyzed.
Keywords: text recognition; image preprocessing; skew correction; text line segmentation.
Document Type: Article
Language: Russian
Citation: M. P. Krivenko, “Preprocessing of text recognition under the poor quality image”, Inform. Primen., 6:4 (2012), 49–56
Citation in format AMSBIB
\Bibitem{Kri12}
\by M.~P.~Krivenko
\paper Preprocessing of text recognition under the poor quality image
\jour Inform. Primen.
\yr 2012
\vol 6
\issue 4
\pages 49--56
\mathnet{http://mi.mathnet.ru/ia232}
Linking options:
  • https://www.mathnet.ru/eng/ia232
  • https://www.mathnet.ru/eng/ia/v6/i4/p49
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Информатика и её применения
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    Abstract page:578
    Full-text PDF :306
    References:34
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