A Graph based Calligraphy Similarity Compare Model | |
Pan, Guoyang1,2; Yang, Yi2; Li, Meng2; Hu, Xueyang3; Huang, Weixing2,4; Wang, Jian2; Wang,Yun2 | |
2021 | |
会议名称 | 2021 IEEE 21th International Conference on Software Quality, Reliability and Security |
会议日期 | 2021-12-06 |
会议地点 | Hainan Island, China |
摘要 | Calligraphy is one of the most famous traditional art in China. The Calligraphy copying practice is the inevitable phase when learning Calligraphy. Calligraphy character has structure and stroke attributes, such as length of stroke and the position distribution of subpart, which can identify each certain character. In this paper, we propose a graph neural network-based algorithm which can measure the similarity between two Calligraphy characters according to structure and stoke. Experiment shows that the proposed method gives satisfied results with respect to the similarity measurement for the Calligraphy copying practice. |
关键词 | calligraphy estimation graph similarity image process graph neural network |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 人工智能+文化 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/47406 |
专题 | 数字内容技术与服务研究中心_智能技术与系统工程 |
通讯作者 | Wang, Jian |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.Institute of Automation, Chinese Academy of Sciences 3.University of Maryland 4.CASIA-Junsheng (Shenzhen) Intelligent & Big Data Sci-Tech Development Ltd. |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Pan, Guoyang,Yang, Yi,Li, Meng,et al. A Graph based Calligraphy Similarity Compare Model[C],2021. |
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