Eighth International Conference on Document Analysis and Recognition (ICDAR'05) (2005)
Aug. 31, 2005 to Sept. 1, 2005
E. Nel , University of Stellenbosch, South Africa
J. A. Du Preez , University of Stellenbosch, South Africa
B. M. Herbst , University of Stellenbosch, South Africa
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.
B. M. Herbst, J. A. Du Preez and E. Nel, "Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models," Eighth International Conference on Document Analysis and Recognition (ICDAR'05)(ICDAR), Seoul, Korea, 2005, pp. 41-47.