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

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 …

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

Sentiment analysis is a subfield of Natural Language Processing (NLP) which tries to
process a text to extract opinions or attitudes towards topics or entities. Recently, the use of …

Handwritten character recognition systems are used in every field of life nowadays,
including shopping malls, banks, educational institutes, etc. Urdu is the national language of …

The research community considers handwritten word recognition (HWR) as an open
research problem to date. The reasons behind this are variations in intra-/interpersonal …

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

Abstract Arabic Handwriting Recognition (AHR) is a complex task involving the
transformation of handwritten Arabic text from image format into machine-readable data …

Offline Arabic handwritten word recognition is still a challenging task. Many deep learning
approaches perform admirably on this task if the lexicon size is not too large and the number …

User-generated comments are crucial in the domain of hotel bookings, especially in the fast-
changing online planning and booking industry. Our research presents a sophisticated …