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A method of stroke extraction based on ambiguous zone detection is presented to facilitate the recovery of dynamic information from static handwritten Chinese character images. First, ambiguous zones are detected using feature points of the skeleton and the contour information around them. Then, a graph is built to represent each character, and the(More)
An unavoidable problem of most existing skeletonization algorithms for handwriting images is the production of undesired artifacts or pattern distortions. This paper presents a method of identifying these unreliable segments to improve the skeletons of handwriting images. In this method, a novel feature called iteration time is exploited, by which each(More)
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