Arabic calligraphy classification using triangle model for Digital Jawi Paleography analysis

Mohd Sanusi Azmi, Khairuddin Omar, Mohammad Faidzul Nasrudin, Azah Kamilah Muda, Azizi Abdullah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Calligraphy classification of the ancient manuscripts gives useful information to paleographers. Researches on digital paleography using calligraphy are done on the manuscripts to identify unidentified place of origin, number of writers, and the date of ancient manuscripts. Information that are used are features from characters, tangent value and features known as Grey-Level Co-occurrence Matrix (GLCM). For Digital Jawi Paleography, a novel technique is proposed based on the triangle. This technique defines three important coordinates in the image of each character and translates it into triangle geometry form. The features are extracted from the triangle to represent the Jawi (Arabic writing in Malay language) characters. Experiments have been conducted using seven Unsupervised Machine Learning (UML) algorithms and one Supervised Machine Learning (SML). This stage focuses on the accuracy of Arabic calligraphy classification. Hence, the model and test data are Arabic calligraphy letters taken from calligraphy books. The number of model is 711 for the UML and 1019 for the SML. Twelve features are extracted from the formed triangles used.

Original languageEnglish
Title of host publicationProceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011
Pages704-708
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011 - Malacca
Duration: 5 Dec 20118 Dec 2011

Other

Other2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011
CityMalacca
Period5/12/118/12/11

Fingerprint

Learning systems
Learning algorithms
Geometry
Experiments

Keywords

  • Arabic
  • Calligraphy
  • Features Extraction
  • Jawi
  • Paleography
  • Triangle Model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Azmi, M. S., Omar, K., Nasrudin, M. F., Muda, A. K., & Abdullah, A. (2011). Arabic calligraphy classification using triangle model for Digital Jawi Paleography analysis. In Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011 (pp. 704-708). [6122194] https://doi.org/10.1109/HIS.2011.6122194

Arabic calligraphy classification using triangle model for Digital Jawi Paleography analysis. / Azmi, Mohd Sanusi; Omar, Khairuddin; Nasrudin, Mohammad Faidzul; Muda, Azah Kamilah; Abdullah, Azizi.

Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011. 2011. p. 704-708 6122194.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Azmi, MS, Omar, K, Nasrudin, MF, Muda, AK & Abdullah, A 2011, Arabic calligraphy classification using triangle model for Digital Jawi Paleography analysis. in Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011., 6122194, pp. 704-708, 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011, Malacca, 5/12/11. https://doi.org/10.1109/HIS.2011.6122194
Azmi MS, Omar K, Nasrudin MF, Muda AK, Abdullah A. Arabic calligraphy classification using triangle model for Digital Jawi Paleography analysis. In Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011. 2011. p. 704-708. 6122194 https://doi.org/10.1109/HIS.2011.6122194
Azmi, Mohd Sanusi ; Omar, Khairuddin ; Nasrudin, Mohammad Faidzul ; Muda, Azah Kamilah ; Abdullah, Azizi. / Arabic calligraphy classification using triangle model for Digital Jawi Paleography analysis. Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011. 2011. pp. 704-708
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