Research in offline Arabic handwriting recognition has increased considerably in the past
few years. This is evident from the numerous research results published recently in major …

Arabic character segmentation is a necessary step in Arabic Optical Character Recognition
(OCR). The cursive nature of Arabic script poses challenging problems in Arabic character …

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 …

Abstract Optical Character Recognition of cursive scripts remains a challenging task due to a
large number of character shapes, inter-and intra-word overlaps, context sensitivity and …

In recent years, with the widespread of Internet and digitized processing of multi-script
documents worldwide, script identification techniques have become more important in the …

This paper gives an across-the-board comprehensive review and survey of the most
prominent studies in the field of Urdu optical character recognition (OCR). This paper …

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 …

In this paper, we propose a new font and size identification method for ultra-low resolution
Arabic word images using a stochastic approach. The literature has proved the difficulty for …

Recently, promising results have been reported on video text detection and recognition.
Most of the proposed methods are tested on private datasets with non-uniform evaluation …

Inspired by the success of Deep Learning based approaches to English scene text
recognition, we pose and bench-mark scene text recognition for three Indic scripts …