The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2025.0160381
PDF

Handwritten Arabic Calligraphy Generation: A Systematic Literature Review

Author 1: Afnan Sumayli
Author 2: Mohamed Alkaoud

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 3, 2025.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Arabic calligraphy is famous for its distinct artistic style. It is written by skilled calligraphers to highlight the beauty of Arabic letters and represent its rich artistry. Due to the complexity of Arabic text compared to other languages' scripts, Arabic calligraphy writing demands a significant investment of time and effort, as well as the acquisition of high skills from calligraphers to correctly form the curves of Arabic script and accurately represent its various styles. This Systematic Literature Review (SLR) aims to provide a comprehensive analysis of the current state of research in Arabic calligraphy generation using deep learning and generative models. The review follows the PRISMA guidelines and examines 19 primary studies selected from a systematic search of academic databases, with publications spanning from January 2009 to December 2024. The findings indicate that Generative Adversarial Networks (GANs) and their variants are the most commonly used models for generating Arabic calligraphy. Additionally, the review highlights a significant gap in the availability of large, standardized handwritten datasets for model training and evaluation, as most existing datasets are small, custom-made, or privately held. In conclusion, the review offers valuable insights that can help researchers and practitioners advance the field, enabling the generation of high-quality Arabic calligraphy that satisfies both artistic and functional needs.

Keywords: Arabic calligraphy; deep learning; generative models; handwritten dataset; Generative Adversarial Networks

Afnan Sumayli and Mohamed Alkaoud, “Handwritten Arabic Calligraphy Generation: A Systematic Literature Review” International Journal of Advanced Computer Science and Applications(IJACSA), 16(3), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160381

@article{Sumayli2025,
title = {Handwritten Arabic Calligraphy Generation: A Systematic Literature Review},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160381},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160381},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {3},
author = {Afnan Sumayli and Mohamed Alkaoud}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org