Abstract
An efficient slant correction method, which effectively reflects structural properties of oriental (Korean) characters, is presented in this paper. The method aims to deal with typical problems which have been frequently observed in slant correction of handwritten Korean strings with conventional approaches developed for English/European languages. Directional strokes are extracted from a line of text image, and statistical distribution of the strokes is analyzed using K- means clustering. Gaussian modeling is applied to each of the stroke clusters and the slant angle is estimated from the one which represents the vertical strokes. Experimental results, including comparison with other conventional methods, support the effectiveness of the proposed method.
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