Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …

Optical character recognition (OCR) is the process of extracting handwritten or printed text
from a scanned or printed image and converting it to a machine-readable form for further …

The paramountcy of English in the contemporary global landscape necessitates the
enhancement of English language proficiency, especially in academic settings. This study …

This study aims to review the latest contributions in Arabic Optical Character Recognition
(OCR) during the last decade, which helps interested researchers know the existing …

Cloud computing has become a de facto choice of many individuals and enterprises for
computing solutions. In the last few years, many cloud providers appear in the market that …

This study presents an integrated approach for automatically extracting and structuring
information from medical reports, captured as scanned documents or photographs, through …

Text, as one of humanity's most influential innovations, has played an important role in
sha** our lives. Reading a text is a difficult task due to several reasons factors, such as …

Optical character recognition (OCR) is a vital process that involves the extraction of
handwritten or printed text from scanned or printed images, converting it into a format that …

In this paper, we propose a novel approach to address the challenges of printed Urdu text
recognition using high-resolution, multi-scale semantic feature extraction. Our proposed …

The evaluation process necessitates significant work in order to effectively and impartially
assess the growing number of new subjects and interests in courses. This paper aims at …