摘要
为了解决现有的字体生成技术只能解决单一字体风格迁移、对家族字体的生成效果不理想、生成的汉字存在拓扑结构混乱、重心失调等问题。根据家族字体度量标准,提出一种基于视距平衡的视觉重心提取算法,根据字体图像的视觉特征,研究汉字图像的视觉重心,并将其与绝对位置进行比较,量化生成的字体家族视觉重心位置,从而为以后检测家族字库的生成质量提供支持。结果表明:本文提出的方法准确度更高,对字体的视觉重心判断更准确。
The existing font generation technology can only solve the problems of single font style migration,with unsatisfactory generation effect for family fonts,chaotic topology structure and misalignment of gravity centers of generated Chinese characters.In order to solve the problems,according to the family font metric standard,a visual gravity center extraction algorithm based on the balance of sight distance is proposed.According to the visual characteristics of the font image,the visual gravity center of the Chinese character image is studied.It is compared with the absolute position to quantify the visual gravity center position of the generated font family,so as to provide support for future detection of the generation quality of family fonts.The results show that the method proposed in this paper has higher accuracy and is more accurate in judging the visual gravity center of fonts.
作者
闫宇
战国栋
张煜
YAN Yu;ZHAN Guo-dong;ZHANG Yu(School of Computer Science and Engineering,Dalian Minzu University,Dalian Liaoning 116650,China;Dalian Chinese Character Computer Font Design Technology Innovation Center, Dalian Minzu University, Dalian Liaoning 116650, China)
出处
《大连民族大学学报》
2022年第1期69-74,共6页
Journal of Dalian Minzu University
基金
辽宁省自然科学基金项目(2020-MZLH-19)
贵州省科技支撑计划项目(2021-534)。
关键词
生成技术
家族字体
视觉重心
generating technology
family fonts
visual gravity center