Offline writer identification using Latin and Arabic scripts: a comprehensive literature review and perspectives
by Yaacoub Hannad; Abdelillah Semma
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 13, No. 3, 2024

Abstract: Handwriting-based writer identification has been recognised as a reliable aspect of behavioral biometrics. This paper provides a comprehensive review of established offline writer identification systems in the independent text mode. It aims to present the current state of writer identification methods and identify potential avenues for advancing this research field. The paper elucidates the typical architectural framework employed in offline writer identification systems and provides an overview of the most prevalent handwritten databases containing Latin and Arabic samples. A key contribution of this work is presenting state-of-the-art approaches in chronological order, contrasting with existing publications, to stimulate interest among new researchers and facilitate their exploration of this field. This work is intended to serve as a valuable resource for aspiring researchers seeking to enter the field of writer identification, while actively enhancing our understanding of current writer identification methods and propelling advancements within this research domain.

Online publication date: Wed, 08-Jan-2025

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