Abstract The integration of Deep Learning (DL) and the Internet of Things (IoT) has
revolutionized technology in the twenty-first century, enabling humans and machines to …

In machine learning, a generative model is responsible for generating new samples of data
in terms of a probabilistic model. Generative adversarial network (GAN) has been widely …

The extraction of relevant information carried out by named entities in handwriting
documents is still a challenging task. Unlike traditional information extraction approaches …

Document images can be affected by many degradation scenarios, which cause recognition
and processing difficulties. In this age of digitization, it is important to denoise them for …

Handwritten document images can be highly affected by degradation for different reasons:
Paper ageing, daily-life scenarios (wrinkles, dust, etc.), bad scanning process and so on …

Removing degradation from document images not only improves their visual quality and
readability, but also enhances the performance of numerous automated document analysis …

Many problems can reduce handwritten character recognition performance, such as image
degradation, light conditions, low-resolution images, and even the quality of the capture …

Simple Summary Segmentation of brain tumor images from magnetic resonance imaging
(MRI) is a challenging topic in medical image analysis. The brain tumor can take many …

In the field of reversible data hiding (RDH), how to predict an image and embed a message
into the image with smaller distortion are two important aspects. In this paper, we propose a …

Degraded document binarization has received keen attention due to its vital influence on
subsequent document analysis tasks. In this study, we propose a novel Degraded Document …