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Proceedings Paper

Modification of the Viola-Jones approach for the detection of the government seal stamp of the Russian Federation
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Paper Abstract

In this paper we present modification of the Viola-Jones approach for solving government seal stamp of the Russian Federation detection problem. The main contributions of the proposed modification are combining brightness and edge features as well as using L1 norm of the gradient of the image for calculating edge features. This modification allows to build classifiers which are more robust to noise, absence of a characteristic structure of contrasts and object's boundaries. The modification is experimentally compared to original Viola-Jones algorithm and showing better quality on different testing sets.

Paper Details

Date Published: 15 March 2019
PDF: 7 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110411Y (15 March 2019); doi: 10.1117/12.2522793
Show Author Affiliations
Daniil P. Matalov, Institute for Information Transmission Problems (Russian Federation)
National Research Univ. MIPT (Russian Federation)
Sergey A. Usilin, Institute for Information Transmission Problems (Russian Federation)
Federal Research Ctr. (Russian Federation)
Vladimir V. Arlazarov, Smart Engines Ltd. (Russian Federation)
Institute for Information Transmission Problems (Russian Federation)
National Research Univ. MIPT (Russian Federation)


Published in SPIE Proceedings Vol. 11041:
Eleventh International Conference on Machine Vision (ICMV 2018)
Antanas Verikas; Dmitry P. Nikolaev; Petia Radeva; Jianhong Zhou, Editor(s)

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