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• W2551708849 abstract "Determining the gender of a person in a given image or video by a machine is a challenging problem. It has been attracting research attention due to its many potential real-life applications. As the human face provides important visual information for gender perception, a large number of studies have investigated gender recognition from face perception. In this paper, we present a method which uses Local Block Difference Pattern for feature extraction to identify the gender from the face images. The recognition is performed by using a support vector machine, which had been shown to be superior to traditional pattern classifiers in the gender recognition problem. Experimental results on the FERET database are provided to demonstrate the proposed approach is an effective method, compared to other similar methods." @default.
• W2551708849 created "2016-11-30" @default.
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• W2551708849 date "2016-11-22" @default.
• W2551708849 modified "2023-09-22" @default.
• W2551708849 title "Gender Recognition Using Local Block Difference Pattern" @default.
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• W2551708849 doi "https://doi.org/10.1007/978-3-319-50212-0_6" @default.
• W2551708849 hasPublicationYear "2016" @default.
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