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, multi-…

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 …

Standard databases play essential roles for evaluating and comparing results obtained by
different groups of researchers. In this paper, an Arabic Handwritten Text Images Database …

A method for Arabic and Latin text block differentiation for printed and handwritten scripts is
proposed. This method is based on a morphological analysis for each script at the text block …

We propose in this paper, an Arabic handwriting recognition system based on multiple
BLSTM-CTC combination architectures. Given several feature sets, the low-level fusion consisted …

In this paper, an end-to-end multi-task deep neural network was proposed for simultaneous
script identification and Keyword Spotting (KWS) in multi-lingual hand-written and printed …

Today's Arabic Handwriting recognition systems are able to recognize arbitrary words over
a large but finite vocabulary. Systems operating with a fixed vocabulary are bound to …

This paper describes the Arabic Recognition Competition: Multi-font Multi-size Digitally
Represented Text held in the context of the 11$^{th}$ International Conference on Document …

This paper presents a real database for the Arabic printed text recognition, APTID / MF (Arabic
Printed Text Image Database / Multi-Font).This database can be used to evaluate the …

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 …