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 …

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 …

A review of the published research confirms that recognition of printed Arabic Word
continues to present challenges. This is specially the case when segmentation is …

The aim of this work is to develop sentence recognition system inspired by the human
reading process. Cognitive studies observed that the human tended to read a word as a …

Nous proposons dans ce travail une approche de reconnaissance de textes arabes
imprimés hors-ligne à vocabulaire ouvert et à très basse résolution (72 dpi). La méthode est …

Handheld devices are flooding the market, and their use is becoming essential among
people. Hence, the need for fast and accurate character recognition methods that ease the …

Based on its content, an image document in Optical Character Recognition (OCR) field can
be either monolingual image document or multilingual image document. Typically, OCR …

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 …