FrameNet: Tabular Image Preprocessing Based on UNet and Adaptive Correction | |
Wang YF(王宇飞)1,2; Du C(杜臣)1,2; Xiao BH(肖柏华)1 | |
2022-05 | |
会议名称 | International Conference on Image Analysis and Processing |
会议录名称 | Image Analysis and Processing–ICIAP 2022: 21st International Conference |
页码 | 407-417 |
会议日期 | May 23–27, 2022 |
会议地点 | Lecce, Italy |
出版地 | Switzerland |
出版者 | Springer Cham |
摘要 | Detecting and recognizing objects in images with complex backgrounds and deformations is a challenging task. In this work, we propose FrameNet, while a deep table lines segmentation network based on our Res18UNet with an adaptive deformation correction algorithm for correcting the table lines. We use Itinerary/Receipt of E-ticket for Air Transport to evaluate our methods. The experiment results show that our Res18UNet can reduce the number of parameters and improve the speed of image segmentation without significantly reducing the segmentation accuracy, and our correction method can better correct the perspective deformation and some distorted tablular images with no dependence on pixel-level ground truth image. In addition, we also apply our model and method to VAT invoice dataset and prove that they also have better transfer ability |
关键词 | Computer vision, Deep learning, Image rectification |
收录类别 | EI |
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 | 其他 |
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/173211/51840 |
专题 | 复杂系统管理与控制国家重点实验室_影像分析与机器视觉 |
通讯作者 | Xiao BH(肖柏华) |
作者单位 | 1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 2.University of Chinese Academy of Sciences, Beijing, China |
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 | Wang YF,Du C,Xiao BH. FrameNet: Tabular Image Preprocessing Based on UNet and Adaptive Correction[C]. Switzerland:Springer Cham,2022:407-417. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
samplepaper_compress(466KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论