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- W2133764910 abstract "We present a method for performing face recognition based on the fractal neighbor distance (FND). The FND has previously been used for face recognition. What distinguishes our method from others is that we incorporate the use of localized weights with the FND. In a local-to-global feature matching approach, a set of localized weights is used with an algorithm based on the FND that searches for local features. A global score is then derived from each localized score. This set of weights is designed to concentrate around the eyes and nose region of the face, because they contain more discriminating features." @default.
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- W2133764910 date "2005-11-01" @default.
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- W2133764910 title "Face Recognition Using the Weighted Fractal Neighbor Distance" @default.
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- W2133764910 doi "https://doi.org/10.1109/tsmcc.2004.840033" @default.
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