Automatic content recognition of teaching boards in the Tableau platform

Teaching boards are omnipresent in classrooms throughout the world. Tableau is a software environment for processing images from teaching-boards acquired using portable digital cameras and cell-phones, being the first software environment able to process non-white boards. The aim of the Tableau environment goes far beyond processing and compressing teaching-board images, it also targets at content analysis and recognition. This paper presents the content analysis tool in Tableau that is able to automatically segment and classify textual and pictorial areas.