Using Intersection Graphs for Smartphone-Based Document Localization
- Авторы: Arlazarov V.V.1,2, Zhukovsky A.E.2, Krivtsov V.E.2, Postnikov V.V.1,2
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Учреждения:
- Institute for Systems Analysis, Computer Science and Control, Federal Research Center
- Moscow Institute of Physics and Technology (State University)
- Выпуск: Том 44, № 5 (2017)
- Страницы: 365-372
- Раздел: Article
- URL: https://journals.rcsi.science/0147-6882/article/view/175289
- DOI: https://doi.org/10.3103/S0147688217050021
- ID: 175289
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Аннотация
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.
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Об авторах
V. Arlazarov
Institute for Systems Analysis, Computer Science and Control, Federal Research Center; Moscow Institute of Physics and Technology (State University)
Автор, ответственный за переписку.
Email: vva777@gmail.com
Россия, Moscow, 117312; Moscow, 141701
A. Zhukovsky
Moscow Institute of Physics and Technology (State University)
Email: vva777@gmail.com
Россия, Moscow, 141701
V. Krivtsov
Moscow Institute of Physics and Technology (State University)
Email: vva777@gmail.com
Россия, 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
Россия, Moscow, 117312; Moscow, 141701
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