CAJ | 학술논문

针对海量书法字检索精度不高耗时过多的问题,提出一种根据骨架结构相似性的分层特征匹配方法:首先在运用分层模板分析获得单个书法字体二值化图像的精细骨架后,通过形状不变矩特征进行粗粒度检索,将可能相似的书法汉字样本聚合在一起;再运用极坐标区域中的曲线综合特征相似性比较进行第二轮检索,并按照相似度大小显示同一汉字的不同风格字体.实验表明,该算法具有良好的效果,特别适合海量书法字检索.
침대해량서법자검색정도불고모시과다적문제,제출일충근거골가결구상사성적분층특정필배방법:수선재운용분층모판분석획득단개서법자체이치화도상적정세골가후,통과형상불변구특정진행조립도검색,장가능상사적서법한자양본취합재일기;재운용겁좌표구역중적곡선종합특정상사성비교진행제이륜검색,병안조상사도대소현시동일한자적불동풍격자체.실험표명,해산법구유량호적효과,특별괄합해량서법자검색.
Individual Chinese characters are identified mainly by their skeleton structure instead of texture or color. In this paper, a skeleton similarity based approach for Chinese calligraphic characters retrieval is proposed. By the approach,first,the skeleton of the binafized individual characters are acquired by an improved multi-level module analysis algorithm. Second, the first round of skeleton matching based on the moment-descriptor guarantees the recall rate;the second round of skeleton matching based on the segmented-zone linear distance guarantees the retrieval precision. Finally,different style of the same Chinese characters are ranked and displayed according to the two rounds of matching score. Besides, the efficiency of our approach is manifested by the preliminary experiment.