In this paper we discuss recent development of hand writing recognition (HWR). In particular, the transition from pure hand writing recognition to understanding of the hand written notes is described. Therefore we first summarize the state-of-the-art in HWR. Next, two recent approaches in order to improve HWR and extracting knowledge are described. Experimental results on various data are reported and an outlook to future directions is given.
['Marcus Liwicki', 'Sebastian Ebert', 'Andreas Dengel']
From handwriting recognition to ontologie-based information extraction of handwritten notes