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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(More)
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(More)
In this paper, we are interested in digitized middle-ages and 18th century authors' manuscripts analysis for the realization of suitable assistance tools dedicated to humanists and historians. The purpose is to help them in their intuitive and empirical work of information retrieval (word retrieval, identification of writers, writing styles(More)
This paper introduces the Generalized Eigen Cooccurrence Matrix (GECM) as a new feature to describe complex structures like images of handwritings for palaeographic expertise. It measures the spatial dependency between two features in the image. It generalizes the popular grey level cooccurrence Dependencies (SGLD) which uses the luminance for the two(More)
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