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A geometric approach to stroke extraction for the Chinese calligraphy robot

Yuandong Sun, Huihuan Qian, Yangsheng Xu

Year
2014
Citations
30

Abstract

Known as “the art of strokes”, Chinese calligraphy expresses its aesthetic through the strokes. A calligraphy learner practise the strokes and compose a calligraphic character by the strokes thereafter. Following the same process, the calligraphy robot, Callibot [2] needs to extract the strokes from a character. Therefore, we propose an approach to extract strokes using the geometric properties on the contour(s) of a character. A key discovery is that if two strokes intersect, the contour is concave; otherwise it is convex. The curvature vector defined in [1] is used to locate the vertexes whose interior angles are greater than 180° (these vertexes are named as C-points). C-points separate the contours into sub-contours. The corresponding sub-contours then form the basic strokes (i.e. dot stroke, horizontal stroke, vertical stroke, left-falling stroke and right-falling stroke). The experimental results show that this approach is feasible of extracting strokes from characters. This research is also useful for Chinese character recognition and calligraphic styles classification.

Keywords

CalligraphyCharacter (mathematics)Artificial intelligenceCurvatureComputer scienceComputer visionChinese charactersProcess (computing)Stroke (engine)Key (lock)

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