Towards Robust Recognition of Handwritten Arabic Characters with Diacritics Using an Incremental Learning Approach Based on CNNs

Handwritten Arabic text recognition (HATR) presents unique challenges due to complex character shapes, contextual variations, cursive connections, and the presence of diacritical marks. This study introduces AHAD (Arabic Handwritten Alphabet with Diacritics), a novel benchmark dataset of 71,061 han...

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Autors principals:	Fatima Aliyu Shugaba, Usman Ullah Sheikh, Mohd Afzan Othman, Nurulaqilla Khamis, Muhammad Habibullah Abdulfattah
Format:	Artigo
Idioma:	Inglês
Publicat:	Politeknik Elektronika Negeri Surabaya 2025-12-01
Col·lecció:	Emitter: International Journal of Engineering Technology
Matèries:	AHAD Contextual form Diacritic-aware Handwritten Arabic Character Recognition Incremental Learning
Accés en línia:	https://emitter.pens.ac.id/index.php/emitter/article/view/982
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