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Computer Optics, 2017, Volume 41, Issue 3, Pages 441–452
DOI: https://doi.org/10.18287/2412-6179-2017-41-3-441-452
(Mi co404)
 

This article is cited in 8 scientific papers (total in 8 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

A review of algorithms for text detection in images and videos

Yu. A. Bolotova, V. G. Spitsyn, P. M. Osina

Tomsk Polytechnic University, Tomsk, Russia
Full-text PDF (431 kB) Citations (8)
References:
Abstract: This article reviews the history and state-of-the-art optical character recognition systems, such as ABBYY FineReader, Tesseract, CuneiForm, with particular attention given to their inner algorithms, including page layout analysis; page segmentation and document skew angle estimation. The overview includes the description and comparison of different methods proposed for the last 30 years in terms of speed and versatility. Critical analysis and discussions about the status of the field and open problems are reported.
Keywords: OCR, page layout analysis, text segmentation, skew detection.
Received: 21.02.2017
Accepted: 19.04.2017
Document Type: Article
Language: Russian
Citation: Yu. A. Bolotova, V. G. Spitsyn, P. M. Osina, “A review of algorithms for text detection in images and videos”, Computer Optics, 41:3 (2017), 441–452
Citation in format AMSBIB
\Bibitem{BolSpiOsi17}
\by Yu.~A.~Bolotova, V.~G.~Spitsyn, P.~M.~Osina
\paper A review of algorithms for text detection in images and videos
\jour Computer Optics
\yr 2017
\vol 41
\issue 3
\pages 441--452
\mathnet{http://mi.mathnet.ru/co404}
\crossref{https://doi.org/10.18287/2412-6179-2017-41-3-441-452}
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  • https://www.mathnet.ru/eng/co404
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  • This publication is cited in the following 8 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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    Full-text PDF :403
    References:44
     
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