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 …

We report on the creation of a database composed of images of Arabic Printed words. The
purpose of this database is the large-scale benchmarking of open-vocabulary, multi-font …

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 …

This study presents a novel approach for Arabic video text recognition based on recurrent
neural networks. In fact, embedded texts in videos represent a rich source of information for …

We report on the creation of a database composed of images of Arabic Printed Text. The
purpose of this database is the large-scale benchmarking of open-vocabulary, multi-font …

We present in this paper a new approach for Arabic font recognition. Our proposal is to use a
fixed-length sliding window for the feature extraction and to model feature distributions with …

This chapter addresses automatic printed Arabic text recognition. Arabic text recognition has
its own difficulties due to the cursive nature of the scripts, overlapping characters, large …

We analyze in this paper the impact of sub-models choice for automatic Arabic printed text
recognition based on Hidden Markov Models (HMM). In our approach, sub-models …

The automatic detection and recognition of zone text in natural images remain
indispensable due to the omnipresent of text information in daily human life. This domain …

We propose in this work an approach for automatic recognition of printed Arabic text in open
vocabulary mode and ultra low resolution (72 dpi). This system is based on Hidden Markov …