DocumentCode
250520
Title
A geometric approach to stroke extraction for the Chinese calligraphy robot
Author
Yuandong Sun ; Huihuan Qian ; Yangsheng Xu
Author_Institution
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
fYear
2014
fDate
May 31 2014-June 7 2014
Firstpage
3207
Lastpage
3212
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
art; feature extraction; human-robot interaction; robot vision; C-points; Callibot; Chinese calligraphy robot; Chinese character recognition; calligraphic character; calligraphic styles classification; calligraphy learner; curvature vector; geometric properties; geometric stroke extraction approach; stroke art; subcontours; Art; Character recognition; Joining processes; Robots; Testing; Vectors; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location
Hong Kong
Type
conf
DOI
10.1109/ICRA.2014.6907320
Filename
6907320
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