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arxiv 1103.0738 v1 pith:NTGPMDFF submitted 2011-03-03 cs.CV cs.DL

A Medial Axis Based Thinning Strategy for Character Images

classification cs.CV cs.DL
keywords thinningcharacterimagesshapeskeletonapproachaxismedial
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Thinning of character images is a big challenge. Removal of strokes or deformities in thinning is a difficult problem. In this paper, we have proposed a medial axis based thinning strategy used for performing skeletonization of printed and handwritten character images. In this method, we have used shape characteristics of text to get skeleton of nearly same as the true character shape. This approach helps to preserve the local features and true shape of the character images. The proposed algorithm produces one pixel width thin skeleton. As a by-product of our thinning approach, the skeleton also gets segmented into strokes in vector form. Hence further stroke segmentation is not required. Experiment is done on printed English and Bengali characters and we obtain less spurious branches comparing with other thinning methods without any post processing.

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