An Intelligent Engine to Detect Quranic Verses Inside Arabic and Persian Texts

Along with the development of content and text filtering systems, identifying and highlighting Quranic verses inside texts has been considered by researchers for years. Therefore we have designed and implemented an intelligent system that can detect and highlight Quranic verses in various texts automatically. This system is an information retrieval system and it uses text mining and pattern matching algorithms. Because of Quranic spelling variations and differences, there are many challenges in this system, so that makes it beyond the usual pattern matching systems. The main algorithm of this system is a new index-based multiple pattern matching algorithm that its main idea is mapping the text and patterns to numeric arrays and process on the numbers instead of text. Experimental results show that processing on numerical values rather than text has a significant impact on increasing the performance of algorithm to be faster and more precise.