Arabic Handwritten Text Line Dataset

TL;DR

This paper introduces a new annotated dataset for historical Arabic script that includes word-level position annotations, addressing a gap in existing resources for improving recognition systems.

Contribution

The paper provides the first dataset with word-level annotations for historical Arabic texts, enhancing resources for segmentation and recognition tasks.

Findings

Dataset enables better segmentation accuracy

Facilitates development of recognition systems for Arabic

Supports research in historical Arabic script analysis

Abstract

Segmentation of Arabic manuscripts into lines of text and words is an important step to make recognition systems more efficient and accurate. The problem of segmentation into text lines is solved since there are carefully annotated dataset dedicated to this task. However, To the best of our knowledge, there are no dataset annotating the word position of Arabic texts. In this paper, we present a new dataset specifically designed for historical Arabic script in which we annotate position in word level.