Extraction des bulles de bandes dessinées

Comics and manga are one of the most popular and familiar forms of graphic content over the world and play a major role in spreading country’s culture. Nowadays, massive digitization allow page-per-page mobile reading but we believe that other usages will be released in the near future. In this paper, we focus on speech balloon segmentation which is a key issue for text/graphic association in scanned and digital-born comic book images. Speech balloons are at the interface between text and comic characters, they inform the reader about speech tone and the position of the speakers. We present a generic and text-independent speech balloon segmentation method based on grey levels, shape and topological organization of the connected-components. The method has been evaluated at pixel-level on two public datasets (eBDtheque and Manga109) and the F-measure results are 78.24% and 80.04% respectively. MOTS-CLÉS : reconnaissance graphique, bulle de dialogue, analyse d’images de BD.