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This paper proposes a novel ear recognition method using multi-scale features inspired by the theory of the SIFT. Firstly, ear images are normalized by ear outer contour tracking and the longest axis detection. Then the difference of Gaussian (DOG) images are constructed using scale space theory and their corresponding block-based feature descriptors are determined. Finally we build the nearest neighbor...
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