Document layout analysis (DLA) is a preprocessing step of document understanding
systems. It is responsible for detecting and annotating the physical structure of documents …

Handwritten Text Recognition (HTR) is essential for digitizing historical documents in
different kinds of archives. In this study, we introduce a hybrid form archive written in French …

Many researchers have observed that TCP's congestion control mechanisms can lead to
bursty traffic flows on modern high-speed networks, with a negative impact on overall …

This paper presents a systematic literature review of image datasets for document image
analysis, focusing on historical documents, such as handwritten manuscripts and early …

Nowadays, deep learning methods are employed in a broad range of research fields. The
analysis and recognition of historical documents, as we survey in this work, is not an …

In recent years, Handwritten Text Recognition (HTR) has captured a lot of attention among
the researchers of the computer vision community. Current state-of-the-art approaches for …

We propose a high-performance fully convolutional neural network (FCN) for historical
document segmentation that is designed to process a single page in one step. The …

This article considers the task of handwritten text recognition using attention-based encoder–
decoder networks trained in the Kazakh and Russian languages. We have developed a …

Historical records of daily activities provide intriguing insights into the life of our ancestors,
useful for demography studies and genealogical research. Automatic processing of …

The increasing portability of physical manuscripts to the digital environment makes it
common for systems to offer automatic mechanisms for offline Handwritten Text Recognition …