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This paper proposes a recognition based approach to handwritten numeral string segmentation. We consider two classes: numeral strings segmented correctly or not. The feature vectors containing recognition information for numeral strings segmented correctly are assumed to be of the distribution of Gaussian mixture model (GMM). Based on this modeling, the recognition based segmentation is solved under...
In this paper, the problem of point correspondence across two images is treated in the eigenvector analysis matching framework of Scott and Longuet-Higgins. We develop the concept of shape contexts introduced by S. Belongie et al. to shape context patterns as rich local descriptors of points. We further propose a Gaussian-weighted Hausdorff distance between shape context patterns to measure correspondence...
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