Graphism Recognition in Goya’s Work

Abstract

In recent years many experimental specialists have carried out analysis of some pictures to test if they are authentic works of art. This work can help expert people to authenticate that kind of pictures. This paper describes the development of a fully-automated computerized analysis system of Goya’s pictures, which enables to locate some small prints (graphisms) in Goya’s authentic work. The proposed methodology works on four steps: digital image acquisition on gray level, segmentation, pattern recognition and localization of small prints in the picture. The outcome of the process is the location of some small prints (graphisms) if the input digital image is a Goya’s picture. An artificial backpropagation neural network is used to say if graphism segmented is a Goya’s small print or no.