Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

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 …

Recently, deep learning techniques demonstrated efficiency in building better performing
machine learning models which are required in the field of offline Arabic handwriting …

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 …

Optical character recognition (OCR) is a technology for converting text automatically on
images into data strings for editing, indexing, and searching. The strings can be applied for …

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 …

Standard convolution neural network (CNN) achieves high level of accuracy for the
recognition of characters in different languages. However, like other deep neural networks …

This study investigates transformer-based Neural Machine Translation (NMT) for post-
processing of noisy Optical Character Recognition (OCR) output. While recognition engines …

Recognizing Arabic script is challenging for many reasons: The Arabic language is cursive
and morphologically rich. There is a high similarity between Arabic letters. Moreover, Arabic …

Optical Character Recognition (OCR) is the process of recognizing characters automatically
from scanned or image documents. OCR software uses machine learning to recognize …