Detection System Tajwid Al Quran on Image Using Bray Curtis Distance  
  Authors : Rizal; Fadlisyah; Muhathir; Al Muammar Akfal


Al Quran is the Muslim holy book written in Arabic. To read the Quran recitation necessary knowledge of the guidelines. In the context of everyday people find difficulty in recitation of the Quran. Therefore, the detection system tajwid needed to help users find the recitation of the Quran. In this study, the method of Bray Curtis Distance is used to detect the image of the Holy Qur'an recitation. The test results show that the accuracy of the system is 60% to 90%. The percentage of detection rate shows that the method can be used Bray curtis as one approach to detection at the image of the Holy Qur'an recitation. This system has several drawbacks that have a high false positive rate, or an error about a 40% chance. To improve the performance of this recitation detection system, can be done by providing further training with additional training data more and more varied. However, this recitation detection system does not deny the importance of teachers in learning how to read in accordance with the rules of recitation is right.


Published In : IJCAT Journal Volume 2, Issue 8

Date of Publication : August 2015

Pages : 293 - 300

Figures :10

Tables : 01

Publication Link :Detection System Tajwid Al Quran on Image Using Bray Curtis Distance




Rizal : Completed Postgraduate Program at the University Kebangsaan Malaysia (UKM) in 2005 on Information Technology Study Program and Lecturer at Departement of Informatics in University of Malikussaleh. Field of study interest and concentration of research is the Natural Language Processing and Data Mining. He currently serves Computer Center University of Malikussaleh.

Fadlisyah : Completed Bachelor’s Degree in Computer Science at University of Padjadjaran Bandung and He Completed a Postgraduate in Computer Systems Engineering at University North Sumatera (USU). He has written many books that have been published throughout Indonesia. Who occupied positions ranging Informatics Laboratories, Head of Community Service, Head of Robot Intelligence Study Center, and also as a coach MTQ branch DAK Qur'an. Cultivated fields of research interest is the Image Processing and Speech Processing.








Bray Curtis Distance

Image Processing



The results showed that the detection system using the method of Bray-Curtis tajwid Distance has a detection rate ranged from 60% to 90%. The percentage detection rate shows that the method of Bray Curtis can be used as one approach to the detection of the image of the Koran recitation. Tajwid detection system using the Bray Curtis is able to work well on images that have a complex background or image that contains complex backgrounds with diverse images, tajwid detection system using the method of Bray-Curt is Distance has a high false positive rate, or an opportunity error ranges from 40%.










[1] Ahsiah Ismail , Mohd Yamani Idna Idris , Noorzaily Mohamed Noor , Zaidi Razak, ZulkifliMohd Yusoff. 2014. Mfcc-Vq Approachfor Qalqalah Tajweed Rule Checkin.( [2] Nurul Wahidah Arshad, Suriazalmi Mohd Sukri, Lailatul Niza Muhammad, Hasan Ahmad,Rosyati Hamid, Faradila Naim, Noor Zirwatul Ahlam Naharuddin._______. Makhraj Recognition for Al-Quran Recitation using MFCC ( [3] Humam, As’ad. 2005. Cara Cepat Belajar Tajwid Praktis. Yogyakarta : Tim Tadarus “AMM”. [4] Kadir, Abdul. 2013. Dasar Pengolahan Citra dengan DELPHI. Yogyakarta : Andi. [5] Munir, Rinaldi, Pengolahan Citra Digital , Bandung, 2004 : Informatika. [6] Putra, Darma. 2010. Pengolahan Citra Digital. Yogyakarta : Andi. [7] Fadlisyah, S.Si. 2007. Computer Vision dan Pengolahan Citra. Yogyakarta : Andi. [8] Fadlisyah. 2013. Sistem Pendeteksian Wajah pada Video Menggunakan Jaringan Adaptive Linear Neuron (ADALINE). [9] Fadlisyah dan Rizal. 2011. Pemograman Computer Vision Menggunakan Delphi + Vision Lab VCL 4.0.1. Yogyakarta : Graha Ilmu. [10] Seung-Seok Choi, Sung-Hyuk Cha, Charles C. 2010 Tappert A Survey of Binary Similarity and Distance Measures.($/sci/pdfs/GS 315JG.pdf).