Exploring Urdu OCR Systems Across Handwritten, Printed, Online, Offline, Multilingual, Natural Scene, and Video Scenarios: A Comprehensive Review
Crossref DOI link: https://doi.org/10.1007/s42979-026-04890-0
Published Online: 2026-03-24
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ahmed, Shaik Moinuddin
Wahid, Abdul
Hamid, Yasir https://orcid.org/0000-0003-1334-2651
Text and Data Mining valid from 2026-03-24
Version of Record valid from 2026-03-24
Article History
Received: 14 November 2024
Accepted: 8 March 2026
First Online: 24 March 2026
Declarations
:
: The authors declare no competing interests related to this work.
: Not required