Arabic handwritten-text recognition applies an OCR technique and then a text-correction
technique to extract the text within an image correctly. Deep learning is a current paradigm …

In recent years, lane detection has become one of the most important factors in the progress
of intelligent vehicles. To deal with the challenging problem of low detection precision and …

Air writing is one of the essential fields that the world is turning to, which can benefit from the
world of the metaverse, as well as the ease of communication between humans and …

In recent years, Optical character recognition (OCR) has experienced a resurgence of
interest especially for contemporary Arabic data. In fact, OCR development for printed and …

In recent decades recognition of characters has become a most important research topic for
computer vision researchers or scientists. One of the major techniques for character …

An efficient energy management system is integrated with the power grid to collect
information about the energy consumption and provide the appropriate control to optimize …

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 …

Dysgraphia is a disorder of expression with the writing of letters, words, and numbers.
Dysgraphia is one of the learning disabilities attributed to the educational sector, which has …

The Ottoman OCR is an open problem because the OCR models for Arabic do not perform
well on Ottoman. The models specifically trained with Ottoman documents have not …

Named entity recognition (NER) is fundamental in several natural language processing
applications. It involves finding and categorizing text into predefined categories such as a …