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 …

Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the
areas of pattern recognition and image processing due to its application in several fields …

In recent times, many research projects and experiments target machines that automatically
recognize handwritten characters, but most of them are done in Latin. Recognizing …

Recognition of Arabic characters is essential for natural language processing and computer
vision fields. The need to recognize and classify the handwritten Arabic letters and …

Deep learning and deep neural networks, particularly Convolutional Neural Networks
(CNNs), are rapidly growing areas of machine learning and are currently the primary tools …

Deep learning models are considered a revolutionary learning paradigm in artificial
intelligence and machine learning, piquing the interest of image recognition and computer …

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 …

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 …

Suppose we want to classify a query item Q with a classification model that consists of a
large set of predefined classes L and suppose we have a knowledge that indicates to us that …

Text localization and recognition from natural scene images has gained a lot of attention
recently due to its crucial role in various applications, such as autonomous driving and …