The shape, orientation and distribution of brushstrokes are distinctive markers left by the artist on the surface of a painting. Consequently, they are useful as additional evidence to decide on issues of attribution and authenticity. This paper proposes an image classification algorithm for the paintings of Amadeo de Souza-Cardoso, a modern Portuguese artist who is at the top of the Portuguese police's list of forged artists. The proposed system is based on a binary classification using bag-of-features (SIFT descriptors and a Gabor filter) for image representation. Experimental results using the algorithm show that the classification of the paintings by extracting brushstroke information is very promising.
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机译：笔触的形状，方向和分布是画家在画面上留下的独特标记。因此，它们可用作确定归属和真实性问题的补充证据。本文为葡萄牙现代艺术家Amadeo de Souza-Cardoso的绘画提出了一种图像分类算法，该艺术家在葡萄牙警察的伪造艺术家名单中排名第一。所提出的系统基于使用特征包（SIFT描述符和Gabor滤波器）进行图像表示的二进制分类。使用该算法的实验结果表明，通过提取笔触信息对绘画进行分类非常有前途。
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