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In this paper, we propose the ear detection approach under complex background which has two stages: off-line cascaded classifier training and on-line ear detection. In the stage of off-line training, considering the unique contour, the concave and convex of the ear, we apply the extended haar-like features to construct the space of the weak classifiers using the nearest neighbor norms. And then we...
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