Classification for Quran authentication using characters and diacritics hashed values

Abstract

With the massive growth of mobile applications and websites contains Quran verses in our daily lives, it is a challenge to identify whether a digital copy or even a verse of Quran is either authentic or not. Due to the sensitivity and the nature of Quran, even a small changes is intolerable as it could bring to a total different meaning. As problem sizes continue to scale up with the volatile development of the Internet, it is essential to research on classification of Quran authenticity. Existing Quran classification is mostly focusing on different aspects of Quran such as Quran themes, subjects or topics. Lack of research has focused on classification for Quran authenticity. Thus, this paper will propose a new algorithm for classification of Quran authentication using hashed values targeting to classify the authenticity of Quran verses efficiently and accurately. Evaluation on a 300 datasets resulted 100% accuracy. This research contributes to the creation of a new classification based on hashed values of characters and diacritics as its features and further extend the knowledge in Quran authentication field. � 2017 American Scientific Publishers All rights reserved.