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Proceedings Paper

Segments graph-based approach for smartphone document capture
Author(s): Alexander E. Zhukovsky; Vladimir V. Arlazarov; Vasiliy V. Postnikov; Valeriy E. Krivtsov
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Paper 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 a segments 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.

Paper Details

Date Published: 8 December 2015
PDF: 7 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750P (8 December 2015); doi: 10.1117/12.2228719
Show Author Affiliations
Alexander E. Zhukovsky, Moscow Institute of Physics and Technology (Russian Federation)
Vladimir V. Arlazarov, The Institute for Systems Analysis (Russian Federation)
Vasiliy V. Postnikov, The Institute for Systems Analysis (Russian Federation)
Valeriy E. Krivtsov, Moscow Institute of Physics and Technology (Russian Federation)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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