Several characters have upper dots and others have lower dots.

More than half of the Arabic characters contain dots. In this work, we preview our method that depends to use the part of Arabic language properties to embed the secret English message in to cover text to create text steganography. The use of the Arabic language is one of the new methods used to hide data. Span>With the increasing technological and electronic development, methods have been developed to hide important information using text steganography as a new technology, since it is not noticeable and easy to send and receive. In 2006 start to use the Irani language to hide the secret message by changing the character dot upper to hide the bit (1) and lower to hide bit (0) for make stego-cover and convert it PDF file before sending it or print it, as shown in Figure 2. To know the correct frequencies for each of the Arabic letters, the Holy Qur'an frequencies were found and considered the main and approved frequencies because the Holy Qur'an is considered a reference for the Arabic language and most of the book uses the Arabic language rules from the Holy Quran, and every Arabic letter had a unique frequency Figure 1. The letters of letters change from one text to another in Table 2. Arabic language property: The Arabic language very rich with properties first it's the cursive characters it means the characters had different shape when being in the begging or middle or the end of the word like ‫)ععع(‬ it's the same character with three different shapes, second every character had another special small shape upper or lower the famous shapes about (7) use it to embedded one bit or more, fourth the Arabic language unique than another national language because the Arabic language had (28) characters (15) of them contains a dots as shown the Table 1 we can use the dots to hide a lot of bits in every word. We will use LZW technique for pattern extraction not for data compression. Phrase level will be created by extracting all similar patterns of variable lengths using enhanced (Lempel, Ziv, and Welch) LZW data Compression technique. Word level will be translated by extracting all the duplicated words, generate a special code for these words. Character level will be translated by extracting all the Arabic characters in the Holly Qur'an with all diacritics available in the Holly Qur'an regardless the linguistic combinations, and adding new character that has a symbol in the Holly Qur'an (Rasm Al-'Uthmani) and has no Unicode representation for it.

The aim of this paper is building a system that translates the Holly Qur'an to Qur'anic code, this translation will be done on three levels, character level, word level, and phrase level. Holly Qur'an must be written correctly and precisely without any modification, despite the fact that some characters used in Qur'an does not have a corresponding Unicode representation.

Quran uthmani pdf