Segmentation-free optical character recognition for printed Urdu text

Author:

Ud Din Israr,Siddiqi Imran,Khalid Shehzad,Azam Tahir

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Information Systems,Signal Processing

Reference49 articles.

1. S Shabbir, I Siddiqi, Optical character recognition system for Urdu words in nastaliq font. Int. J. Adv. Comput. Sci. Appl.7(5), 567–76 (2016).

2. S Naz, AI Umar, SB Ahmed, SH Shirazi, MI Razzak, I Siddiqi, in Multi-Topic Conference (INMIC), 2014 IEEE 17th International. An OCR system for printed nasta’liq script: a segmentation based approach (IEEE, Pakistan, 2014), pp. 255–259.

3. ST Javed, Investigation into a segmentation based OCR for the nastaleeq writing system, Master’s thesis, National University of Computer and Emerging Sciences Lahore, Pakistan (2007).

4. DA Satti, Offline Urdu nastaliq ocr for printed text using analytical approach, upublished master’s thesis, Quaid-i-Azam University Islamabad, Pakistan (2013).

5. N Sabbour, F Shafait, in IS&T/SPIE Electronic Imaging. A segmentation-free approach to Arabic and Urdu OCR (International Society for Optics and Photonics, USA, 2013), pp. 86580–86580.

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