摘要
依据篆刻艺术的特点,提出一种从篆字骨架中分割出笔划的方法。通过图像细化方法提取篆字的骨架图;分析骨架图中笔划的交叉点和交叉区域,得到特定篆字的子笔划;在各交叉区域内利用模板匹配方法组合子笔划得到篆字笔划。通过实验证明,上述方法对分割篆字笔划具有一定的效果。
This paper introduced a method how to segment seal character stroke from the skeleton image according to the art characteristics of seal-engraving. Firstly, we got the seal character skeleton through thinning algorithm. Then we analysed the intersections and cross area of the skeleton image, forming some sub-strokes. Finally,we used the template matching method to get the sub-strokes to be combined from the neighborhood of each intersection region, eventually combined the character elements into the seal character strokes. The experiment shows that the method is effective.
出处
《计算机科学》
CSCD
北大核心
2013年第2期297-300,共4页
Computer Science
基金
北京市属高等学校人才强教计划项目PHR(IHLB)
北京市教育委员会科技计划面上项目(KM201311417015)
国家自然科学基金项目(60972145)资助
关键词
骨架
笔划分割
篆字识别
Skeleton, Stroke segmentation, Seal character recognition