Using Intersection Graphs for Smartphone-Based Document Localization


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This article is devoted to analyzing document localization in images and evaluation of the performance of mobile applications. The analysis is used to propose a new algorithm of document-image capture. The algorithm consists in determining segments of document boundaries and building an intersection graph that complies with a projective rectangle model. According to the evaluation of the performance of the algorithm, its document-localization efficiency is as high as 95% and it outperforms all the reviewed algorithms used in mobile applications.

作者简介

V. Arlazarov

Institute for Systems Analysis, Computer Science and Control, Federal Research Center; Moscow Institute of Physics and Technology (State University)

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Email: vva777@gmail.com
俄罗斯联邦, Moscow, 117312; Moscow, 141701

A. Zhukovsky

Moscow Institute of Physics and Technology (State University)

Email: vva777@gmail.com
俄罗斯联邦, Moscow, 141701

V. Krivtsov

Moscow Institute of Physics and Technology (State University)

Email: vva777@gmail.com
俄罗斯联邦, Moscow, 141701

V. Postnikov

Institute for Systems Analysis, Computer Science and Control, Federal Research Center; Moscow Institute of Physics and Technology (State University)

Email: vva777@gmail.com
俄罗斯联邦, Moscow, 117312; Moscow, 141701

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