Towards robust tampered text detection in document image: New dataset and new solution

C Qu, C Liu, Y Liu, X Chen, D Peng… - Proceedings of the …, 2023 - openaccess.thecvf.com
Recently, tampered text detection in document image has attracted increasingly attention
due to its essential role on information security. However, detecting visually consistent …

Doctr: Document image transformer for geometric unwar** and illumination correction

H Feng, Y Wang, W Zhou, J Deng, H Li - ar**
K Ma, S Das, Z Shu, D Samaras - ACM SIGGRAPH 2022 Conference …, 2022 - dl.acm.org
Document image unwar** is important for document digitization and analysis. The state-of-
the-art approach relies on purely synthetic data to train deep networks for unwar**. As a …

Revisiting document image dewar** by grid regularization

X Jiang, R Long, N Xue, Z Yang… - Proceedings of the …, 2022 - openaccess.thecvf.com
This paper addresses the problem of document image dewar**, which aims at eliminating
the geometric distortion in document images for document digitization. Instead of designing …

Fourier document restoration for robust document dewar** and recognition

C Xue, Z Tian, F Zhan, S Lu… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
State-of-the-art document dewar** techniques learn to predict 3-dimensional information
of documents which are prone to errors while dealing with documents with irregular …

Deep unrestricted document image rectification

H Feng, S Liu, J Deng, W Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In recent years, tremendous efforts have been made on document image rectification, but
existing advanced algorithms are limited to processing restricted document images, ie, the …

Document dewar** with control points

GW **e, F Yin, XY Zhang, CL Liu - … 5–10, 2021, Proceedings, Part I 16, 2021 - Springer
Document images are now widely captured by handheld devices such as mobile phones.
The OCR performance on these images are largely affected due to geometric distortion of …