Segmentation of Arabic Cursive Script

Ulm, GERMANY August 18-August 20

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http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.620580

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	ASCII Text	x
	Deya Motawa, Adnan Amin, Robert Sabourin, "Segmentation of Arabic Cursive Script," Document Analysis and Recognition, International Conference on, pp. 625, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.

	BibTex	x
	@article{ 10.1109/ICDAR.1997.620580, author = {Deya Motawa and Adnan Amin and Robert Sabourin}, title = {Segmentation of Arabic Cursive Script}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {1997}, isbn = {0-8186-7898-4}, pages = {625}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.620580}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Segmentation of Arabic Cursive Script SN - 0-8186-7898-4 SP EP A1 - Deya Motawa, A1 - Adnan Amin, A1 - Robert Sabourin, PY - 1997 KW - Handwritten Arabic words KW - Mathematical Morphology KW - Slant Correction KW - Connected Components KW - Segmentation KW - Singularities and Regularities. VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

Deya Motawa, University of New South Wales

Adnan Amin, University of New South Wales

Robert Sabourin, University of New South Wales

The main theme of this paper is the automatic segmentation of Arabic words using Mathematical Morphology tools. The proposed algorithm has been tested with a set of Arabic words written by different writers ranging from poor to acceptable quality, The initial experimental results are very encouraging and promising.

Index Terms:

Handwritten Arabic words, Mathematical Morphology, Slant Correction, Connected Components, Segmentation, Singularities and Regularities.

Citation:

Deya Motawa, Adnan Amin, Robert Sabourin, "Segmentation of Arabic Cursive Script," icdar, pp.625, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997

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