Estimating the pen trajectories of multi-path static scripts using hidden Markov models

Static handwritten scripts are available only as images on documents and by definition do not contain dynamic information. This study is about extracting dynamic information from a static handwritten script, specifically the sequence of pen positions that created the script. We assume that a dynamic representative of the static image is available (a different version typically obtained during an earlier registration process). A hidden Markov model (HMM) of the static image is compared with the dynamic representative to extract the dynamic information from the static image.