The problem addressed in this study is the offline recognition of handwritten Arabic city
names. The names are assumed to belong to a fixed lexicon of about 1,000 entries. A state …

Due to the nature of Arabic handwriting, segmenting words into characters/graphemes is the
most difficult and critical task of the recognition system. The present paper proposes an …

Abstract The Quranic Arabic Corpus (http://corpus. quran. com) is a collaboratively
constructed linguistic resource initiated at the University of Leeds, with multiple layers of …

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 paper describes a technique for automatic recognition of off-line printed Arabic text
using Hidden Markov Models. In this work different sizes of overlap** and non …

In this work, a new method is proposed to the widely neglected problem of Arabic font
recognition, it uses global texture analysis. This method is based on fractal geometry, and …

In this paper, we describe an off-line unconstrained handwritten Arabic word recognition
system based on segmentation-free approach and semi-continuous hidden Markov models …

Research into statistical parsing for English has enjoyed over a decade of successful results.
However, adapting these models to other languages has met with difficulties. Previous …

This study investigates Bayes classification of online Arabic characters represented by
histograms of tangent differences and Gibbs modeling of the class-conditional probability …

In this paper we present a two-stage system for the off-line recognition of cursive Arabic
handwritten words. The proposed method is analytic without segmentation, and is able to …