Using Intersection Graphs for Smartphone-Based Document Localization

被引：2
|
作者：
Arlazarov V.V. [1 ,2 ]
Zhukovsky A.E. [2 ]
Krivtsov V.E. [2 ]
Postnikov V.V. [1 ,2 ]
机构：
[1] Institute for Systems Analysis, Computer Science and Control, Federal Research Center, Russian Academy of Sciences, Moscow
[2] Moscow Institute of Physics and Technology (State University), Moscow
来源：
Scientific and Technical Information Processing | 2017年 / 44卷 / 5期
基金：
俄罗斯基础研究基金会;
关键词：
document localization; mobile cameras; projective transformation; segment detection;
D O I：
10.3103/S0147688217050021
中图分类号：
学科分类号：
摘要：
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. © 2017, Allerton Press, Inc.
引用
收藏
页码：365 / 372
页数：7
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