Knowledge Commons of Institute of Automation,CAS
Components Regulated Generation of Handwritten Chinese Text-lines in arbitrary length | |
Shuo Li1,2; Xiyan Liu1,2; Gaofeng Meng1,2,3; Shiming Xiang1,2; Chunhong Pan1 | |
2022-08 | |
会议名称 | International Conference on Pattern Recognition (ICPR) |
会议日期 | 2022-8 |
会议地点 | Montreal, QC, Canada. |
摘要 | Generating readable images of handwritten Chinese text-lines is very challenging due to complicated topological structures in Chinese. To address this problem, we propose a components regulated model named HCT-GAN to generate the entire lines of Chinese handwriting from text-line labels. Specifically, HCT-GAN is designed as a CGAN-based architecture that additionally integrates a Chinese text encoder (CTE), a sequence recognition module(SRM), and a spatial perception module (SPM). Compared with the one-hot embedding, CTE learns the latent content representation by reusing the structure and component embedding shared among the Chinese characters. SRM provides sequence-level constraints to the generated images. SPM can adaptively constrain the spatial correlation between the generated components, which facilitates the modeling of characters with complicated topological structures. Benefiting from such artful modeling, our model suffices to generate images of handwritten Chinese text-lines in arbitrary length. Extensive experimental results demonstrate that our model achieves state-of-the-art performance in handwritten Chinese lines generation. |
七大方向——子方向分类 | 文字识别与文档分析 |
国重实验室规划方向分类 | 视觉信息处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/52198 |
专题 | 多模态人工智能系统全国重点实验室_先进时空数据分析与学习 |
通讯作者 | Gaofeng Meng |
作者单位 | 1.National Laboratory of Pattern Recognition , Institute of Auto Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.CAS Centre for Artificial Intelligence and Robotics, HK Institute of Science and Innovation |
推荐引用方式 GB/T 7714 | Shuo Li,Xiyan Liu,Gaofeng Meng,et al. Components Regulated Generation of Handwritten Chinese Text-lines in arbitrary length[C],2022. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Components_Regulated(2080KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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