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

Daniil P. Matalov; Sergey A. Usilin; Vladimir V. Arlazarov

doi:10.1117/12.2522793

15 March 2019 Modification of the Viola-Jones approach for the detection of the government seal stamp of the Russian Federation

Daniil P. Matalov, Sergey A. Usilin, Vladimir V. Arlazarov

Author Affiliations +

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 110411Y (2019) https://doi.org/10.1117/12.2522793
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

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.

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Daniil P. Matalov, Sergey A. Usilin, and Vladimir V. Arlazarov "Modification of the Viola-Jones approach for the detection of the government seal stamp of the Russian Federation", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110411Y (15 March 2019); https://doi.org/10.1117/12.2522793

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