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In this paper, a colour text/graphics segmentation is proposed. Firstly, it takes advantage of colour properties by computing a relevant hybrid colour model. Then an edge detection is performed to construct a binary image composed of contour information. From this contour image, connected components are classified according to a graph representation. Text and graphic diversity is taken into account...
A sparse representation based method is proposed for text detection from scene images. We start with edge information extracted using Canny operator and then group these edge points into connected components. Each connected component is labeled as text or non-text by a two-level labeling process: pixel level labeling and connected component labeling. The core of the labeling process is a sparsity...
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