DocumentCode
3498262
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.
fYear
2006
fDate
27-28 April 2006
Lastpage
311
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Image Analysis for Libraries, 2006. DIAL '06. Second International Conference on
Conference_Location
Lyon
Print_ISBN
0-7695-2531-8
Type
conf
DOI
10.1109/DIAL.2006.20
Filename
1612972
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