Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2016, Issue 2, Pages 60–69 (Mi iipr285)  

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

Data mining

Usage of the intersection graph for camera-based document capture

V. V. Arlazarova, A. E. Zhukovskyb, V. E. Krivtsovb, V. V. Postnikova

a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow
b Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow Region
Full-text PDF (669 kB) Citations (1)
Abstract: Document capture with a smartphone camera is already here to stay. Interactive applications for document capture and its enhancement have filled mobile application stores. However, discounting the predictions and judging only from the experience of using such applications, they are not yet ready to compete with stationary scanners when high quality and reliability is required. This paper is devoted to analysis of the problem of document detection in the image and evaluation of the quality of existing mobile applications. Based on this analysis we present a new reliable algorithm for document capture, based on the boundary segments detection and constructing an intersections graph to fit rectangular projective model. The algorithm achieves about 95% quality of document detection and outperforms all of the reviewed algorithms, implemented in mobile applications.
Keywords: document detection; segments detection; projective transform; mobile cameras.
English version:
Scientific and Technical Information Processing, 2017, Volume 44, Issue 5, Pages 365–372
DOI: https://doi.org/10.3103/S0147688217050021
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. V. Arlazarov, A. E. Zhukovsky, V. E. Krivtsov, V. V. Postnikov, “Usage of the intersection graph for camera-based document capture”, Artificial Intelligence and Decision Making, 2016, no. 2, 60–69; Scientific and Technical Information Processing, 44:5 (2017), 365–372
Citation in format AMSBIB
\Bibitem{ArlZhuKri16}
\by V.~V.~Arlazarov, A.~E.~Zhukovsky, V.~E.~Krivtsov, V.~V.~Postnikov
\paper Usage of the intersection graph for camera-based document capture
\jour Artificial Intelligence and Decision Making
\yr 2016
\issue 2
\pages 60--69
\mathnet{http://mi.mathnet.ru/iipr285}
\elib{https://elibrary.ru/item.asp?id=26336704}
\transl
\jour Scientific and Technical Information Processing
\yr 2017
\vol 44
\issue 5
\pages 365--372
\crossref{https://doi.org/10.3103/S0147688217050021}
Linking options:
  • https://www.mathnet.ru/eng/iipr285
  • https://www.mathnet.ru/eng/iipr/y2016/i2/p60
  • 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
    Artificial Intelligence and Decision Making
    Statistics & downloads:
    Abstract page:18
    Full-text PDF :4
    References:1
     
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