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- W2137746691 abstract "Perceptual hashing is a solution for identification and authentication of multimedia content. The key of this technique is the extraction of proper features. In this paper, two features are proposed for natural image hashing. They are based on the description of shapes, in terms of contours and regions. The contour-based feature is formed by edge detection. The region-based feature is formed by the angular radial transform. Simulation results show that they have good robustness and discriminability. Compared to some other features, better ROC performance is achieved." @default.
- W2137746691 created "2016-06-24" @default.
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- W2137746691 date "2009-06-01" @default.
- W2137746691 modified "2023-09-23" @default.
- W2137746691 title "Shape-based features for image hashing" @default.
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- W2137746691 doi "https://doi.org/10.1109/icme.2009.5202684" @default.
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