The recent advances in deep learning (DL) have caused breakthroughs in many fields such
as computer vision, natural language processing (NLP) and speech processing. Many DL …

In pattern recognition, automatic handwriting recognition (AHWR) is an area of research that
has developed rapidly in the last few years. It can play a significant role in broad-spectrum of …

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 …

Nowadays, there is a huge amount of Historical Arabic Documents (HAD) in the national
libraries and archives around the world. Analyzing this type of data manually is a difficult and …

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

Recognition of cursive handwritten Arabic text is a difficult problem because of context-
sensitive character shapes, the non-uniform spacing between words and within a word …

Abstract Coronavirus disease 2019 (COVID‐19) has attracted significant attention of
researchers from various disciplines since the end of 2019. Although the global epidemic …

A huge amount of image data is being collected in real world sectors. Image data analytics
provides information about important facts and issues of a particular domain. But, it is …

Training deep learning based handwritten text recognition systems needs a lot of data in
terms of text images and their corresponding annotations. One way to deal with this issue is …

Deep learning techniques have demonstrated remarkable success in various domains,
including character classification tasks. However, the performance of deep learning models …