.png){kind=icon}
返回
Deep Unrestricted Document Image Rectification
.png){kind=icon}
OA
AI
DOI：10.1109/TMM.2023.3347094.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In recent years, tremendous efforts have been made on document image rectification, but existing advanced algorithms are limited to processing restricted document images, i.e., the input images must incorporate a complete document. Once the captured image merely involves a local text region, its rectification quality is degraded and unsatisfactory. Our previously proposed DocTr, a transformer-assisted network for document image rectification, also suffers from this limitation. In this work, we present DocTr++, a novel unified framework for document image rectification, without any restrictions on the input distorted images. Our major technical improvements can be concluded in three aspects. Firstly, we upgrade the original architecture by adopting a hierarchical encoder-decoder structure for multi-scale representation extraction and parsing. Secondly, we reformulate the pixel-wise mapping relationship between the unrestricted distorted document images and the distortion-free counterparts. The obtained data is used to train our DocTr++ for unrestricted document image rectification. Thirdly, we contribute a real-world test set and metrics applicable for evaluating the rectification quality. To our best knowledge, this is the first learning-based method for the rectification of unrestricted document images. Extensive experiments are conducted, and the results demonstrate the effectiveness and superiority of our method. We hope our DocTr++ will serve as a strong baseline for generic document image rectification, prompting the further advancement and application of learning-based algorithms.
Keyword:
Document image rectification
Unrestricted document images
Transformer
期刊
IF:
9.7
论文数:
4.6K
被引数:
2.4W
机构
引用论文
U2-Net: Going deeper with nested U-structure for salient object detectionU2-Net: 基于嵌套U结构的显著性目标检测.png)
PATTERN RECOGNITION
OAAI
PATTERN RECOGNITIONIF7.6
OAAI分享收藏Membrane Disordering by Anesthetic Drugs: Relationship to Synaptosomal Sodium and Calcium Fluxes
PREAI
分享收藏分享收藏
查看更多内容