In document image rectification, there exist rich geometric constraints between the distorted
image and the ground truth one. However, such geometric constraints are largely ignored in …

Computer vision applications in transportation logistics and warehousing have a huge
potential for process automation. We present a structured literature review on research in the …

This paper aims at the distorted document image rectification problem, the objective to
eliminate the geometric distortion in the document images and realize document …

Visual information extraction (VIE), which aims to simultaneously perform OCR and
information extraction in a unified framework, has drawn increasing attention due to its …

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 …

Single image rectification of document deformation is a challenging task. Although some
recent deep learning-based methods have attempted to solve this problem, they cannot …

Compared with flatbed scanners, portable smartphones provide more convenience for
physical document digitization. However, such digitized documents are often distorted due …

Document image restoration is a crucial aspect of Document AI systems as the quality of
document images significantly influences the overall performance. Prevailing methods …

To facilitate the transition into the digital era, it is necessary to digitize printed documents
such as forms and invoices. Due to the presence of diverse lighting conditions and …

Document dewarping from a distorted camera-captured image is of great value for OCR and
document understanding. The document boundary plays an important role which is more …