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Product Classification based on SVM and PHOG Descriptor
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It is a great need to classify the numerous product into some categories automatically. In this paper, we adopt SVM classifier combined with PHOG (Pyramid of Histograms of Orientation Gradients) descriptors to implement product-image classification. The support vector machine maps the input vectors into a high-dimension space, in which a max margin supper hyper plane is set up to classify the samples and PHOG can flexibly represent the spatial layout of local image shape. Experimental results showed the effectiveness of the proposed algorithm.
Product classificationSVMPHOGKernelLIBSVM
He Zhang、Zijun Sha
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Graduate School of Advanced Mathematics and Human Mechanisms, University of Toyama Gofuku 930 - 8555, Tovama - shi, Japan
2013
International journal of computer science and network security: IJCSNS
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NSTL
