Cursive-Text: A Comprehensive Dataset for End-to-End Urdu Text Recognition in Natural Scene Images

Author:

Chandio Asghar Ali,Asikuzzaman Md.ORCID,Pickering MarkORCID,Leghari Mehwish

Funder

University of New South Wales

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference22 articles.

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2. ARASTI: A database for Arabic scene text recognition;Tounsi,2017

3. A novel dataset for English-Arabic scene text recognition (EASTR)-42K and its evaluation using invariant feature extraction on detected extremal regions;Ahmed,2019

4. S. M. Lucas, A. Panaretos, L. Sosa, A. Tang, S. Wong, and R. Young, ICDAR 2003 robust reading competitions, in: Proceedings of 7th IEEE International Conference on Document Analysis and Recognition, pp. 682-687, 2003.

5. ICDAR 2013 robust reading competition;Karatzas,2013

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