Arabic Handwriting Recognition Competition

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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)

Seoul, Korea

August 31-September 01

ISBN: 0-7695-2420-6

	ASCII Text	x
	V. Margner, M. Pechwitz, H. El Abed, "Arabic Handwriting Recognition Competition," Document Analysis and Recognition, International Conference on, pp. 70-74, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.

	BibTex	x
	@article{ 10.1109/ICDAR.2005.52, author = {V. Margner and M. Pechwitz and H. El Abed}, title = {Arabic Handwriting Recognition Competition}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {2005}, issn = {1520-5263}, pages = {70-74}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.52}, 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 - Arabic Handwriting Recognition Competition SN - 1520-5263 SP70 EP74 A1 - V. Margner, A1 - M. Pechwitz, A1 - H. El Abed, PY - 2005 KW - null VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

V. Margner, Institute for Communications Technology, Germany

M. Pechwitz, Institute for Communications Technology, Germany

H. El Abed, Institute for Communications Technology, Germany

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.52

This paper describes the Arabic handwriting recognition competition for ICDAR 2005. With the presentation of the IFN/ENIT-database in the year 2002 a database with handwritten Arabic town names was made available for free to non commercial research groups. Till now more than 30 groups are working with this data worldwide.

By announcing a competition of Arabic handwriting recognition systems based on the IFN/ENIT-database, we hope to contribute to the development of Arabic handwriting recognition systems. The use of the same database by different research groups allows the comparison of different systems. We compare the systems on the most important characteristic: recognition rate, but also features like word length, writing style, and character connectivity will be discussed.

Citation:

V. Margner, M. Pechwitz, H. El Abed, "Arabic Handwriting Recognition Competition," icdar, pp.70-74, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005

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