Abstract

Design and implementation of a robotic vision system capable of efficiently manuscript scanning and recognition. To scan manuscripts and recognize manuscript components, the robotic system aims at using cutting-edge machine vision techniques. The robotic system is connected to an ontology-based manuscript editor, where the scanned text is automatically stored in. This ground-breaking method aims at effectively scanning and preserving handwritten textual resources so that scholars and researchers can access and study manuscripts in fully annotated format. As the proposed robotic system will be constructed using a 3D printer, its low weight and cost provide portability and reconfigurability with respect to the shape and the dimensions of the manuscript.