Novel steganography scheme using Arabic text features in Holy Quran
نویسندگان
چکیده
منابع مشابه
High capacity steganography tool for Arabic text using 'Kashida'
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...
متن کاملExtracting Topics from the Holy Quran Using Generative Models
The holy Quran is one of the Holy Books of God. It is considered one of the main references for an estimated 1.6 billion of Muslims around the world. The Holy Quran language is Arabic. Specialized as well as non-specialized people in religion need to search and lookup certain information from the Holy Quran. Most research projects concentrate on the translation of the holy Quran in different la...
متن کاملAl-Bayan: An Arabic Question Answering System for the Holy Quran
Recently, Question Answering (QA) has been one of the main focus of natural language processing research. However, Arabic Question Answering is still not in the mainstream. The challenges of the Arabic language and the lack of resources have made it difficult to provide Arabic QA systems with high accuracy. While low accuracies may be accepted for general purpose systems, it is critical in some...
متن کاملAn Arabic Natural Language Interface System for a Database of the Holy Quran
In the time being, the need for searching in the words, objects, subjects, and statistics of words and parts of the Holy Quran has grown rapidly concurrently with the grow of number of Moslems and the huge usage of smart mobiles, tablets and lab tops. Because, databases are used almost in all activities of our life, some DBs have been built to store information about words and surah of Quran. T...
متن کاملcollocation errors in translations of the holy quran
the present study aims at identifying, classifying and analyzing collocation errors made by translators of the holy quran into english.findings indicated that collocationally the most acceptablt translation was done by ivring but the least appropriate one made by pickthall.
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2019
ISSN: 2088-8708,2088-8708
DOI: 10.11591/ijece.v9i3.pp1910-1918