Multi-modal large language models (LLMs) have shown remarkable performance in various
natural language processing tasks, including data extraction from documents. However, the …

Skewing of the scanned image is an inevitable process and its detection is an important
issue for document recognition systems. The skew of the scanned document image specifies …

Document scanning often suffers from skewing, which may seriously influence the efficiency
of Optical Character Recognition (OCR). Therefore, it is necessary to correct the skewed …

As a main part of several document analysis systems, Skew estimation represents one of the
major research challenges, particularly in case of historical documents exploration. In this …

Binarization of images of old documents is considered a challenging task due to the wide
diversity of degradation effects that can be found. To deal with this, many algorithms whose …

Segmentation is an important issue in document image processing systems as it can break a
sequence of characters into its components. Its application over digits is common in bank …

Skew detection is a crucial step for document analysis systems. Indeed, it represents one of
the basic challenges, especially in case of historical documents analysis. In this paper, we …

There are several kinds of information that can be achieved in ancient documents. In
general, image processing research on this subject works with images of letters or …

This article presents a script-independent approach for the estimation of skew angle of the
offline document image. It follows a certain divide and conquer strategy. A document image …

This paper presents a new skew detection and correction technique using FFT & median
filtering. It is found that there are many techniques based on skew correction which have …