research-article

Classification of Tajweed Al-Qur'an on Images Applied Varying Normalized Distance Formulas

Authors:

Muharman Lubis,

Arif Ridho LubisAuthors Info & Claims

ICECC '20: Proceedings of the 3rd International Conference on Electronics, Communications and Control Engineering

Pages 21 - 25

https://doi.org/10.1145/3396730.3396739

Published: 29 May 2020 Publication History

Abstract

Al-Qur'an is a Muslim holy book which is written originally in Arabic where the way of reading it should be aligned with the pronunciation and spelling of the messenger and companion in the time of revelation. It is very important to follow the rule of its reading to avoid misinterpretation of the verses, which the existence of artificial neural networks and image processing can be used to classify various type of Tajweed as the reading discipline of Al-Quran in order to support the readers in term of pronunciation and interpretation. In this classification, the recitation of Al-Qur'an in the form of a number of normalized distance formulas in order to obtain the right optimization for the classification namely normalized Manhattan distance which is consistent at a value <0.5 and one that is not applied in the case of Tajweed Al-Qur'an is normalized hamming distance because the value generated is 1.

References

[1]

Haider, T. 2016. Universality in the Message of Quran. Journal of South Asian Studies, 4(2), pp. 61--65.

[2]

Gunawan, G. & Fanrenza, R. 2018. Motivation to Educate Lecturers in the Islamic Religion Faculty of Muhammadiyah University of Sumatera Utara. In proceedings international conference BKSPTIS.

[3]

Zailani, Z. 2019. The insights of quran on the concept of students. European Journal of Education Studies, vol. 6(2).

[4]

Fadlisyah, F. & Muhathir, M. 2015. Perbandingan Unjuk Kerja Transformasi Wavelet, Mellin Dan Discrete Sine Transform (Dst) Untuk Pengenalan ayat Al-Qur'an pada Surat Yasiin 1-10 melalui Suara. TECHSI-Jurnal Teknik Informatika, 7(2).

[5]

Tamuri A.H., Ismail A.M., Noor A.H.M. & Pisol M.I. H. 2013. Penilaian guru terhadap pelaksanaan model-model Tilawah Al-Qur'an Program j-QAF. International Journal of Islamic Thought vol. 3, pp. 1--17.

[6]

Shahbudin S. & Zailaini M.A. 2013. Analysis of Tajweed errors in Quranic recitation. Procedia - Social and Behavioral Sciences, 103, pp. 136--145.

[7]

Aqel, M.J. & Zaitoun, N. 2015. Tajweed: An Expert System for Holy Quran Recitation Proficiency. Procedia Computer Science 65, pp. 807--812.

[8]

Alfianto, E. 2017. Penerapan Ilmu Tajweed dalam Pembelajaran Al-Qur'an untuk Mengembangkan Kemampuan membaca Al-Qur'an pada Siswa Kelas Atas SD Muhammadiyah 14 Surakarta. Doctoral dissertation, Universitas Muhammadiyah Surakarta.

[9]

Lubis, A.R., Fachrizal, F. & Maulana, H. 2017. A review: The affair of Al-Qur'an and green computing. In 2017 5th International Conference on Cyber and IT Service Management (CITSM) (pp. 1--5). IEEE.

[10]

Al-Khowarizmi, Sitompul, O.S., Suherman & Nababan, E.B. 2017. Measuring the Accuracy of Simple Evolving Connectionist System with Varying Distance Formulas. In Journal of Physics: Conference Series, vol. 930, No. 1, p. 012004. IOP Publishing.

[11]

Lubis, A.R., Lubis, M., Al-Khowarizmi & Listriani, D. 2019. Big Data Forecasting Applied Nearest Neighbor Method. In 2019 International Conference on Sustainable Engineering and Creative Computing (ICSECC) (pp. 116--120). IEEE.

[12]

Ibrahim S, Rahim F.A.A. & Rahmad Z. 2019. Automatic Tajweed Rules Recognition using k-Nearest Neighbour (k-NN). International Journal of Recent Technology and Engineering (IJRTE), vol. 8(2S11), pp. 552--557.

[13]

Akkila, A.N. & Abu-Naser, S.S. 2018. Rules of Tajweed the Holy Quran Intelligent Tutoring System. Int. Journal of Academic Pedagogical Research, vol. 2(3), pp. 7--20.

[14]

Shafie, N., Adam, M.Z. & Abas, H. 2017. The model of Al-Qur'an recitation evaluation to support in Da'wah Technology media for self-learning of recitation using mobile apps. In 3rd International Seminar on Da'wah, National University of Malaysia.

[15]

Ridwan, T. & Majid, N. 2018. Development System for Recognize Tajweed in Qur'an using Automatic Speech Recognition. In Proceedings of the 1st International Conference on Science and Technology for an Internet of Things. European Alliance for Innovation (EAI). DOI 10.4108/eai.19-10-2018.2281368

[16]

Rizal, R., Fadlisyah, F., Muhathir, M. & Muammar, M. 2015. Detection System Tajweed Al Quran on Image Using Bray Curtis Distance. International Journal of Computing and Technology, vol. 2(8), August 2015.

[17]

Muhathir, Mawengkang. H. & Ramli, M. 2017. Kombinasi Z-Fisher Transform Dan Bray Curtis Distance Untuk Pengenalan Pola Huruf Jar Pada Citra Al-Qur'an. Jurnal Bisman Info, 4(1).

[18]

Al-Khowarizmi, Sitompul, O.S. & Suherman 2017. Modifikasi Metode SECoS dengan Menggunakan Rumus Distance. Thesis Computer Science, Universitas Sumatera Utara.

[19]

Lubis, A.R., Lubis, M. & Al-Khowarizmi. 2020. Optimization of Distance Formula in k-Nearest Neighbor Method. Bulletin of Electrical Engineering and Informatics (BEEI), 9(2).

[20]

France, S., Carroll, J.D. & Xiong, H. 2012. Distance metrics for high dimensional nearest neighborhood recovery: compression and normalization. Information Sciences, 184(1), pp. 92--110.

Digital Library

[21]

Goceri, E. 2018. Fully Automated and Adaptive Intensity Normalization using Features for Brain MR Images. Celai Bayar University Journal of Science, 14(1), pp. 125--134.

[22]

Tseng, D-C and Chen R-L. (2015). Mutiscale Texture Segmentation Using Contextual Hidden Markov Tree Models. International Journal of Machine Learning and Computing vol. 5, no. 3, pp. 198--205, 2015

[23]

Vansteenberge, J., Mukunoki, M. and Minoh, M. (2013). Combined Object Detection and Segmentation. Int. J. of Machine Learning and Computing vol. 3, no. 1, pp. 60--64, 2013

[24]

Saikumar, T., Yugander, P., Murthy P.S. and Smitha, B. Improved Fuzzy C-Means Clustering Algorithm Using Watershed Transform on Level Set Method for Image Segmentation. Int. J. of Machine Learning and Computing vol. 2, no. 1, pp. 19--23, 2012

[25]

Cha, S-H. 2007. Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions. Int. J. of Mathematical Models and Methods in Applied Sciences 1(4), pp. 300--307.

[26]

Pai, A.D. 2019. Assessment of Color Normalization Algorithms under Various Illuminations. Int. J. of Innovative Technology and Exploring Engineering, 8(11), pp. 225--228.

[27]

Zhang, X., Sugano, Y. and Bulling, A. 2018. Revisiting Data Normalization for Appearance-based Gaze Estimation. ETRA.

Digital Library

[28]

Nakhmani, A. & Tannenbaum, A. 2014. A New Distance Measure based on Generalized Image Normalized Cross-Correlation for Robust Video Tracking and Image Recognition. Pattern Recognition Letter, 34(3), pp. 315--321.

Digital Library

[29]

Jon, V., Boyali A. and Mita, S. (2017). Gabor Filter and Gershgorin Disk-based Convolutional Filter Constraining for Image Classification. International Journal of Machine Learning and Computing vol. 7, no. 4, pp. 55--60.

Cited By

Lubis ALase YR DWitarsyah D(2023)Optimization of SVM Classification Accuracy with Bayesian Optimization Utilizing Data Augmentation2023 6th International Conference of Computer and Informatics Engineering (IC2IE)10.1109/IC2IE60547.2023.10331580(169-174)Online publication date: 14-Sep-2023
https://doi.org/10.1109/IC2IE60547.2023.10331580
Lubis APrayudani SHamzah M(2023)Classification of Text on Social Media Data Using the TF-IDF Approach, Word2Vec and Transfer Learning2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)10.1109/EECSI59885.2023.10295677(282-287)Online publication date: 20-Sep-2023
https://doi.org/10.1109/EECSI59885.2023.10295677
Al-Khowarizmi ALubis MRidho Lubis AFauzi FRamadhan Nasution I(2021)Model of Business Intelligence Applied the Principle of Cooperative Society in the Business ForumsProceedings of the 2021 10th International Conference on Software and Computer Applications10.1145/3457784.3457820(224-228)Online publication date: 23-Feb-2021
https://dl.acm.org/doi/10.1145/3457784.3457820
Show More Cited By

Index Terms

Classification of Tajweed Al-Qur'an on Images Applied Varying Normalized Distance Formulas
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing

Recommendations

A Contextual Normalised Edit Distance
SISAP '08: Proceedings of the First International Workshop on Similarity Search and Applications (sisap 2008)

In order to better fit a variety of pattern recognitionproblems over strings, using a normalised version of the edit or Levenshtein distance is considered to be an appropriate approach. The goal of normalisation is to take into account the lengths of ...
A Normalized Levenshtein Distance Metric

Although a number of normalized edit distances presented so far may offer good performance in some applications, none of them can be regarded as a genuine metric between strings because they do not satisfy the triangle inequality. Given two strings X ...
Nearest neighbour distance matrix classification
ADMA'10: Proceedings of the 6th international conference on Advanced data mining and applications: Part I

A distance based classification is one of the popular methods for classifying instances using a point-to-point distance based on the nearest neighbour or k-NEAREST NEIGHBOUR (k-NN). The representation of distance measure can be one of the various ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

ICECC '20: Proceedings of the 3rd International Conference on Electronics, Communications and Control Engineering

April 2020

73 pages

ISBN:9781450374996

DOI:10.1145/3396730

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 May 2020

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICECC 2020

ICECC 2020: The 3rd International Conference on Electronics, Communications and Control Engineering

April 8 - 10, 2020

Bali, Indonesia

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
139
Total Downloads

Downloads (Last 12 months)11
Downloads (Last 6 weeks)0

Reflects downloads up to 17 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Lubis ALase YR DWitarsyah D(2023)Optimization of SVM Classification Accuracy with Bayesian Optimization Utilizing Data Augmentation2023 6th International Conference of Computer and Informatics Engineering (IC2IE)10.1109/IC2IE60547.2023.10331580(169-174)Online publication date: 14-Sep-2023
https://doi.org/10.1109/IC2IE60547.2023.10331580
Lubis APrayudani SHamzah M(2023)Classification of Text on Social Media Data Using the TF-IDF Approach, Word2Vec and Transfer Learning2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)10.1109/EECSI59885.2023.10295677(282-287)Online publication date: 20-Sep-2023
https://doi.org/10.1109/EECSI59885.2023.10295677
Al-Khowarizmi ALubis MRidho Lubis AFauzi FRamadhan Nasution I(2021)Model of Business Intelligence Applied the Principle of Cooperative Society in the Business ForumsProceedings of the 2021 10th International Conference on Software and Computer Applications10.1145/3457784.3457820(224-228)Online publication date: 23-Feb-2021
https://dl.acm.org/doi/10.1145/3457784.3457820
Lubis APrayudani SAl-Khowarizmi Lase YFatmi Y(2021)Similarity Normalized Euclidean Distance on KNN Method to Classify Image of Skin Cancer2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)10.1109/ISRITI54043.2021.9702826(68-73)Online publication date: 16-Dec-2021
https://doi.org/10.1109/ISRITI54043.2021.9702826
Lubis APrayudani SFatmi YAl-Khowarizmi Julham Lase Y(2021)Extraction in Detecting Tuberculosis X-Ray Results using Histogram of Oriented Gradients2021 4th International Conference of Computer and Informatics Engineering (IC2IE)10.1109/IC2IE53219.2021.9649335(5-8)Online publication date: 14-Sep-2021
https://doi.org/10.1109/IC2IE53219.2021.9649335
Muhathir Al-Khowarizmi (2020)Measuring the Accuracy of SVM with Varying Kernel Function for Classification of Indonesian Wayang on Images2020 International Conference on Decision Aid Sciences and Application (DASA)10.1109/DASA51403.2020.9317197(1190-1196)Online publication date: 8-Nov-2020
https://doi.org/10.1109/DASA51403.2020.9317197

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents