Aug 16, 2018 · This paper gives an across-the-board comprehensive review and survey of the most prominent studies in the field of Urdu optical character recognition (OCR).
A historical review of the OCR systems is presented, providing comparisons between the English, Arabic, and Urdu systems.
This study introduces the OCR technology and presents a historical review of the OCR systems, providing comparisons between the English, Arabic and Urdu systems ...
This paper gives an across-the-board comprehensive review and survey of the most prominent studies in the field of Urdu optical character recognition (OCR).
This research presents a segmentation free and size invariant technique for recognition of Urdu words in Nastaliq font using ligatures as units of recognition.
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This research presents a model for Urdu Handwritten Character Recognition via images using various Machine Learning and Deep Learning Techniques.
In this research, we have proposed a novel segmentation-free technique for the design and implementation of a Nastaliq OCR based on cross-correlation.
Abstract—This research paper presents a novel word-level. Optical Character Recognition (OCR) model developed specifically for digital Urdu text.
Oct 5, 2022 · Adnan, "Urdu Optical Character Recognition Systems: Present Contri- butions and Future Directions," in IEEE Access, vol. 6, pp. 46019-46046 ...
Aug 21, 2023 · Khan, N.H., Adnan, A.: Urdu optical character recognition systems: present contributions and future directions. IEEE Access 6, 46019–46046 ...