Contribution to the discrimination of the medieval manuscript texts: application in the palaeography

  • Authors:
  • Ikram Moalla;Frank LeBourgeois;Hubert Emptoz;Adel M. Alimi

  • Affiliations:
  • REsearch Group on Intelligent Machines (REGIM), University of Sfax, ENIS, DGE, Sfax, Tunisia;Laboratoire d'InfoRmatique en Images et Systèmes d'information (LIRIS), INSA de Lyon, France;Laboratoire d'InfoRmatique en Images et Systèmes d'information (LIRIS), INSA de Lyon, France;REsearch Group on Intelligent Machines (REGIM), University of Sfax, ENIS, DGE, Sfax, Tunisia

  • Venue:
  • DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

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