@article{(Open Science Index):https://publications.waset.org/pdf/13019,
	  title     = {Segmentation Free Nastalique Urdu OCR},
	  author    = {Sobia T. Javed and  Sarmad Hussain and  Ameera Maqbool and  Samia Asloob and  Sehrish Jamil and  Huma Moin},
	  country	= {},
	  institution	= {},
	  abstract     = {The electronically available Urdu data is in image form
which is very difficult to process. Printed Urdu data is the root cause
of problem. So for the rapid progress of Urdu language we need an
OCR systems, which can help us to make Urdu data available for the
common person. Research has been carried out for years to automata
Arabic and Urdu script. But the biggest hurdle in the development of
Urdu OCR is the challenge to recognize Nastalique Script which is
taken as standard for writing Urdu language. Nastalique script is
written diagonally with no fixed baseline which makes the script
somewhat complex. Overlap is present not only in characters but in
the ligatures as well. This paper proposes a method which allows
successful recognition of Nastalique Script.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {10},
	  year      = {2010},
	  pages     = {1514 - 1519},
	  ee        = {https://publications.waset.org/pdf/13019},
	  url   	= {https://publications.waset.org/vol/46},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 46, 2010},
	}