Introducing a new image dissimilarity measure with an application to character image clustering in degraded historical documents
Sebastian Colutto · 2010
In this paper we present a novel method for the calculation of the distance between two input images that are representing characters of an historical document. The ultimate goal is to create a high quality clustering of the images, i.e. to extract an inventory of the document.