Title :
Image analysis for palaeography inspection
Author :
Moalla, I. ; Lebourgeois, F. ; Emptoz, H. ; Alimi, A.M.
Author_Institution :
Res. Group on Intelligent Machines, Sfax Univ.
Abstract :
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
Keywords :
document image processing; natural languages; text analysis; Arabic styles; Haralick features; Latin medieval text styles; ancient manuscripts; image analysis; medieval manuscript texts; palaeography inspection; spatial grey-level dependence; Data mining; Europe; History; Image analysis; Inspection; Libraries; Machine intelligence; Printing; Text analysis; Writing;
Conference_Titel :
Document Image Analysis for Libraries, 2006. DIAL '06. Second International Conference on
Conference_Location :
Lyon
Print_ISBN :
0-7695-2531-8
DOI :
10.1109/DIAL.2006.20
