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The traditional text clustering algorithm often uses the unsupervised feature selection method to select the feature. In this paper we propose a new text clustering algorithm SFFCM which use the supervised feature selection method to select the feature. The SFFCM is based on the EM algorithm. In the E-step, to calculate the expectation, we use the supervised feature selection algorithm to calculate...
Registration method based on geometric invariant is efficient and accurate. However, it usually finds many legal but conflict transformations and determining registration transformation by geometric invariant error is not reliable. To enforce its robust in more general environments, this paper proposes a novel document image registration method based on geometric invariant and contour matching. Geometric...
This paper proposes a novel document image binarization approach based on stroke neighborhood enhancement. First, foreground pixels are initially labeled. Then, the strokes are enhanced based on their neighborhood information which include gradient information and foreground-background pixel distances of foreground pixels and their neighboring background pixels. At last, the enhanced image is finally...
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