Using Artificial Neural Networks and the Kohonen Method, an Image Pattern Recognition System for Khat Art Types

Arabic letter writing is known as khat art. Khat is classified into many categories and can be identified into three types: Khat Naskhi, Khat Qufi, and Khat Farisi, per the rules established in the art of Khat. Arabic letters, the subjects of khat art, evolved following the region where it first appeared. As a result, the Qufi style, for instance, marked the start of the evolution of Khat in the tenth century. Previously somewhat rigid, Khat became more fluid and beautiful, although it remained angular. Subsequently, the art of Sulus, Naskhi, Raiham, Riqa, and Tauqi evolved and exhibited the form of Khat, cursive (italic)—artificial neural network-based khat art type recognition by selecting the Kohonen

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Publication Details

Journal
International Journal of Engineering Science and Information Technology
Published
2025-03-19
DOI
https://doi.org/10.52088/ijesty.v5i2.851
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Artificial Neural Networks and the Kohonen Method, an Image Pattern Recognition System for Khat Art Types

Rasna Rasna, Adyanata Lubis, Fifto Nugroho, Alexius Ulan Bani et al.
International Journal of Engineering Science and Information Technology
3D Shape Modeling and Analysis
article

Using Artificial Neural Networks and the Kohonen Method, an Image Pattern Recognition System for Khat Art Types

Rasna Rasna, Adyanata Lubis, Fifto Nugroho, Alexius Ulan Bani, Dikky Suryadi
article en

Abstract

Arabic letter writing is known as khat art. Khat is classified into many categories and can be identified into three types: Khat Naskhi, Khat Qufi, and Khat Farisi, per the rules established in the art of Khat. Arabic letters, the subjects of khat art, evolved following the region where it first appeared. As a result, the Qufi style, for instance, marked the start of the evolution of Khat in the tenth century. Previously somewhat rigid, Khat became more fluid and beautiful, although it remained angular. Subsequently, the art of Sulus, Naskhi, Raiham, Riqa, and Tauqi evolved and exhibited the form of Khat, cursive (italic)—artificial neural network-based khat art type recognition by selecting the Kohonen

International Journal of Engineering Science and Information TechnologyVol. 5(2)
Universitas Bung Karno (ID), Universitas Yapis Papua (ID)
Openalex Percentile: Top 93%
3D Shape Modeling and Analysis
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Using Artificial Neural Networks and the Kohonen Method, an Image Pattern Recognition System for Khat Art Types — Rasna Rasna, Adyanata Lubis, et al. · International Journal of Engineering Science and Information Technology (2025) | TGRS Research Map | TGRS