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Text localization is an important task in text understanding systems. In this paper, an efficient connected component based text localization method is proposed. Two image cues, edge and color, are combined to extract candidate text regions. The non-text regions in these candidate text regions are then removed by the text line information generated from 2D tensor voting. The images in ICDAR 2003 competition...
Text line segmentation is a critical task in unconstrained handwritten document recognition. In this paper, a novel text line segmentation based on 2D tensor voting is proposed. 2D tensor voting is originally used to remove outliers and extract perceptual structures such as curves, junctions and end points from a set of sparse data points. Since characters of a text line are aligned on a smooth curve,...
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