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Nowadays, Image classification method has been widely researched in the world. In this paper, we prepare four building categories for database. Firstly we use the Gabor filter for image processing to extract the image features, and then divide the images to different subregions for histogram-based Gabor features. At last, for image classification, Support Vector Machine (SVM) and Relevance Vector...
This paper proposes a novel face representation approach, local Gabor binary mapping pattern (LGBMP), for multi-view gender classification. In this approach, a face image is first represented as a series of Gabor magnitude pictures (GMP) by applying multi-scale and multi-orientation Gabor filters. Each GMP is then encoded as a LGBP image where a uniform local binary pattern (LBP) operator is used...
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