Image Analysis for Palaeography Inspection

Ikram Moalla 1 Frank Le Bourgeois 1 Hubert Emptoz 1
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
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.
Document type :
Conference papers
Complete list of metadatas
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Thursday, April 27, 2017 - 4:12:33 PM
Last modification on : Wednesday, October 31, 2018 - 12:24:25 PM



Ikram Moalla, Frank Le Bourgeois, Hubert Emptoz. Image Analysis for Palaeography Inspection. 2nd IEEE International Conference on Document Image Analysis for Libraries (DIAL’06), Apr 2006, Lyon, France. pp.265-280, ⟨10.1109/DIAL.2006.20⟩. ⟨hal-01515522⟩



Record views