2 papers
cs.CV2026
AraMS-28k: The Largest Publicly Released Line-Level Dataset of Historical Arabic Manuscripts with Margin and Insertion-Anchor Annotations
Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib +1
We introduce AraMS-28k, the largest publicly released line-level dataset of genuine historical Arabic manuscripts, comprising 14 books, 3,043 pages, and 28,600 annotated text lines…
cs.CV2026
RefLAM: A Reference-Grounded Line Annotation Pipeline for Historical Arabic Manuscripts
Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib +1
Existing approaches to building line-level Arabic handwritten-text-recognition (HTR) training data either rely on fully manual annotation, which does not scale, or on automatic OCR…