Despite of the decent development of the pattern recognition science applications in the last decade of the twentieth century and this century, text recognition remains one of the most important problems in pattern recognition. To the best of our knowledge, little work has been done in the area of Arabic text recognition compared with those for Latin, Chins and Japanese text. The main difficult...

In this paper we describe a system for building an Arabic lexicon automatically by tagging Arabic newspaper text. In this system we are using several techniques for tagging the words in the text and figuring out their types and their features. The major techniques that we are using are: finding phrases, analyzing the affixes of the words, and analyzing their pattems. Proper nouns are particular...

In this paper, an experimental study was conducted on three techniques for Arabic text classification. These techniques are Support Vector Machine (SVM) with Sequential Minimal Optimization (SMO), Naïve Bayesian (NB), and J48. The paper assesses the accuracy for each classifier and determines which classifier is more accurate for Arabic text classification based on stop words elimination. The a...

In 1945, the Cairo Academy for the Arabic Language opened a contest to find the best project for simplification of the Arabic writing system. They received about 200 replies. We have chosen three of these projects (a preliminary project by an Academy subcommitee, and projects by Ahmed Lakhdar-Ghazal and Yahya Boutemene) and have implemented them via theΩ typesetting system. In this paper we des...

Text embedded in video sequences is very important to semantic indexing and content-based retrieval system, especially for large scale news collection. However, its detection and extraction is still an open problem due to the variety of its size and the complexity of the backgrounds. In this paper, we propose an approach for automatic Arabic-text localization based on a novel method for text-li...

tabaghat-o-alsufiya is one of the ancient persian texts written in the harat area (fifth century ad). khwaja abdullah ansari was a sufi who was preaching many people in several meetings in harat. his sermons were written by one of his students later, which called ''tabaghat-o-alsufiya''. this text's analysis can show some unspoken language tips about the current dialect...

This paper proposes an efficient, Chi-Square-based, feature selection method for Arabic text classification. In Data Mining, feature selection is a preprocessing step that can improve the classification performance. Although few works have studied the effect of feature selection methods on Arabic text classification, limited number of methods was compared. Furthermore, different datasets were u...

This paper focuses on the creation of Arabic named entity gazetteers, by exploiting Wikipedia and using the Naïve Bayes classifier to classify the named entities into the three main categories: person, location, and organization. The process of building the gazetteer starts with automatically creating the datasets. The dataset for the training is constructed using only Arabic text, whereas, the...

Arabic script writing is typically underspecified for short vowels and other mark up, referred to as diacritics. Apart from the lexical ambiguity found in words, similar to that exhibited in other languages, the lack of diacritics in written Arabic script adds another layer of ambiguity which is an artifact of the orthography. Diacritization of written text has a significant impact on Arabic NL...

In this study, we propose a flexible template-matching algorithm for word segmentation, and structural analysis of features extraction is used for character recognition in the printed Arabic text. The input text image is preprocessed by the binarization and then by morphological operations. A vector quantization of the thinned image (VQTM) is created based on the idea of a freeman chain code tr...