Computer vision is a branch of computer science that studies how computers can 'see'. It is a
field that provides significant value for advancements in academia and artificial intelligence …

This article discusses the problem of handwriting recognition in Kazakh and Russian
languages. This area is poorly studied since in the literature there are almost no works in …

Abstract Handwritten Text Recognition (HTR) in free-layout pages is a challenging image
understanding task that can provide a relevant boost to the digitization of handwritten …

The paper approaches the task of handwritten text recognition (HTR) with attentional
encoder–decoder networks trained on sequences of characters, rather than words. We …

In this study, a novel technique is proposed to recognize printed text in images for Urdu, a
low-resource language with a scarcity of benchmark datasets. The proposed technique is …

This study proposes three-phase saturation identification using X-ray computerized
tomography (CT) images of gas hydrate (GH) experiments considering critical GH saturation …

It is necessary to monitor, acquire, preprocess, and classify microseismic data to understand
active faults or other causes of earthquakes, thereby facilitating the preparation of early …

Handwritten Text Recognition (HTR) in free-layout pages is a valuable yet challenging task
which aims to automatically understand handwritten texts. State-of-the-art approaches in this …

Convolutional Neural Networks (CNN) have achieved huge popularity in solving problems
in image analysis and in text recognition. In this work, we assess the effectiveness of CNN …

The handwritten text recognition problem is widely studied by the researchers of computer
vision community due to its scope of improvement and applicability to daily lives, It is a sub …