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

摘要

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 L_1 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.