The Comparison of Template Matching and SURF for Logo Classification on Product
作者： Thummarat Boonrod , Chatklaw Jareanpon , Phatthanaphong Chomphuwiset
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摘要: This paper proposes the fast logo classification on product. The search space for is reduced by production using Histogram of Oriented Gradients (HOG). template matching and Speeded-Up Robust Features (SURF) algorithm are used to detect logo, in term computational time. experimental results found that HOG can be detected area product at 88.00% accuracy rate. detection advantage simple, but SURF speed.
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