Using Hidden Markov Models Husni A. Al-Muhtaseb, Sabri A. Mahmoud, Information and Computer Science Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia. e-mail: [email protected], [email protected]. and Rami S. Qahwaji Electronic Imaging and media communications department, University of Bradford, Bradford, UK e-mail: [email protected] Abstract Th...

Steganography is the ability to hide secret information in a cover-media such as sound, pictures and text. A new approach is proposed to hide a secret into Arabic text cover media using "Kashida", an Arabic extension character. The proposed approach is an attempt to maximize the use of "Kashida" to hide more information in Arabic text cover-media. To approach this, some algorithms have been des...

As a part of multi-media support system for Arabic e-learning, some vehicle should be provided for training students to pronounce Arabic text themselves. Since the Arabic alphabet is phonetic, it seems a good idea to transliterate Arabic into Roman, the most popular language, but there exists a big gap between Arabic and Roman besides a difference between their alphabets; scripting directions. ...

More and more, interest in the way data is displayed on screen has increased, especially with the increase in the number of people using e-text for learning purposes. So, this requires more focus on factors that affect screen legibility. Text display factors, such as font size, line length and font type, have an impact on reading online. Two font types [Arabic Traditional and Simplified Arabic]...

Besides for its own merits, text classification (TC) has become a cornerstone in many applications. Work presented here is part of and a pre-requisite for a project we have overtaken to create a corpus for the Arabic text process. It is an attempt to create modules automatically that would help speed up the process of classification for any text categorization task. It also serves as a tool for...

This chapter presents a new benchmarking strategy for Arabic screenbased word recognition. Firstly, we report on the creation of the new APTI (Arabic Printed Text Image) database. This database is a large-scale benchmarking of open-vocabulary, multi-font, multi-size and multi-style word recognition systems in Arabic. Such systems take as input a text image and compute as output a character stri...

Al-Btriuni's book on pharmacy and materia medica, ed. with English translation by H. M. Said and R. E. Elahie, Karachi, Hamdard National Foundation, 1973, volume 1, pp. viii, 376+430 pp. (Arabic text), $30.00; Introduction, commentary and evaluation, by S. K. Hamarneh, volume 2, pp. 152, illus., $6.00. SAMI K. HAMARNEH, The physician, therapist and surgeon Ibn al-Quff (12331286), an introductor...

Arabic script is the third most widely used writing system after Latin and Chinese, but research in Arabic Optical Character Recognition (OCR) is still nascent in comparison to Latin script. Arabic script is inherently cursive in nature, therefore techniques developed for other scripts are generally inappropriate for Arabic. In this paper we present recent progress in the field of Handwritten A...

In this paper, we present a generic Optical Character Recognition system for Arabic script languages called Nabocr. Nabocr uses OCR approaches specific for Arabic script recognition. Performing recognition on Arabic script text is relatively more difficult than Latin text due to the nature of Arabic script, which is cursive and context sensitive. Moreover, Arabic script has different writing st...

Text classification is the process of assigning a text or a document to various predefined classes or categories to reflect their contents. With the rapid growth of Arabic text on the Web, studies that address the problems of classification and segmentation of the Arabic language are limited compared to other languages, most of which implement word-based and feature extraction algorithms. This ...