Image Analysis for Palaeography Inspection

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	Similar Articles Articles by I. MOALLA Articles by A. M. ALIMI Articles by F. LEBOURGEOIS Articles by H. EMPTOZ

Second International Conference on Document Image Analysis for Libraries (DIAL'06)

Lyon, France

April 27-April 28

ISBN: 0-7695-2531-8

	ASCII Text	x
	I. MOALLA, A. M. ALIMI, F. LEBOURGEOIS, H. EMPTOZ, "Image Analysis for Palaeography Inspection," Document Image Analysis for Libraries, International Workshop on, pp. 303-311, Second International Conference on Document Image Analysis for Libraries (DIAL'06), 2006.

	BibTex	x
	@article{ 10.1109/DIAL.2006.20, author = {I. MOALLA and A. M. ALIMI and F. LEBOURGEOIS and H. EMPTOZ}, title = {Image Analysis for Palaeography Inspection}, journal ={Document Image Analysis for Libraries, International Workshop on}, volume = {0}, year = {2006}, isbn = {0-7695-2531-8}, pages = {303-311}, doi = {http://doi.ieeecomputersociety.org/10.1109/DIAL.2006.20}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Image Analysis for Libraries, International Workshop on TI - Image Analysis for Palaeography Inspection SN - 0-7695-2531-8 SP303 EP311 A1 - I. MOALLA, A1 - A. M. ALIMI, A1 - F. LEBOURGEOIS, A1 - H. EMPTOZ, PY - 2006 KW - null VL - 0 JA - Document Image Analysis for Libraries, International Workshop on ER -

I. MOALLA, University of Sfax, ENIS, DGE, BP. W-3038 - Sfax, Tunisia

A. M. ALIMI, University of Sfax, ENIS, DGE, BP. W-3038 - Sfax, Tunisia

F. LEBOURGEOIS, Laboratoire d'InfoRmatique en Images et Syst?mes d'information (LIRIS)

H. EMPTOZ, Laboratoire d'InfoRmatique en Images et Syst?mes d'information (LIRIS)

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DIAL.2006.20

This paper presents our first contribution to the discrimination of the medieval manuscript texts in order to assist palaeographers to date the ancient manuscripts. Our method is based on Spatial Grey- Level Dependence (SGLD) which measures the join probability between grey level values of pixels for each displacement. We use the Haralick features to characterise 15 Latin medieval text styles and then to characterise 7 Arabic styles. The achieved discrimination results are between 50% and 81% for the Medieval Latin styles, and up to 100% for Arabic ones.

Citation:

I. MOALLA, A. M. ALIMI, F. LEBOURGEOIS, H. EMPTOZ, "Image Analysis for Palaeography Inspection," dial, pp.303-311, Second International Conference on Document Image Analysis for Libraries (DIAL'06), 2006

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