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Image Analysis for Palaeography Inspection
Lyon, France April 27-April 28
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DIAL.2006.20Second International Conference on Do ...
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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)
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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