To make full use of the digitized calligraphic works efficiently, a fast multi-level calligraphic retrieval approach is proposed, in which two levels of comparisons are used. For the first level, corner points and end points are extracted, and the features on them are compared, which can significantly reduce the number of comparisons of the pixels. For the second level, the result of the first level is used as input and the skeleton similarity based method is used. Thus the number of calligraphic characters to be compared is reduced significantly. Compared with the single level skeleton similarity based retrieval method, the proposed approach needs only half of the time, while the ratio between precision and recall is almost the same. It makes the retrieval for large scale calligraphic characters more efficient.%为了高效地利用数字化书法作品,提出一种通过两层检索的书法字快速多层检索方法.该方法中,第一层检索提取并比较拐点和端点等关键点上的特征,大幅度减少像素点的比较次数；第二层检索以第一层检索的结果作为输入进行基于骨架相似性的检索,可大幅度减少需比较的书法字样本个数.与直接使用基于骨架相似性的书法字单层检索方法相比,文中方法所需时间减少了一半左右,而查全率和查准率基本保持不变,提高了大数据量书法字检索的效率.
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