@article{(Open Science Index):https://publications.waset.org/pdf/7478,
	  title     = {Component-based Segmentation of Words from Handwritten Arabic Text},
	  author    = {Jawad H AlKhateeb and  Jianmin Jiang and  Jinchang Ren and  Stan S Ipson},
	  country	= {},
	  institution	= {},
	  abstract     = {Efficient preprocessing is very essential for automatic
recognition of handwritten documents. In this paper, techniques on
segmenting words in handwritten Arabic text are presented. Firstly,
connected components (ccs) are extracted, and distances among
different components are analyzed. The statistical distribution of this
distance is then obtained to determine an optimal threshold for words
segmentation. Meanwhile, an improved projection based method is
also employed for baseline detection. The proposed method has been
successfully tested on IFN/ENIT database consisting of 26459
Arabic words handwritten by 411 different writers, and the results
were promising and very encouraging in more accurate detection of
the baseline and segmentation of words for further recognition.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {5},
	  year      = {2008},
	  pages     = {1428 - 1432},
	  ee        = {https://publications.waset.org/pdf/7478},
	  url   	= {https://publications.waset.org/vol/17},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 17, 2008},
	}