Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models

Authors:
E. Nel;J. A. Du Preez;B. M. Herbst
Affiliations:
University of Stellenbosch, South Africa;University of Stellenbosch, South Africa;University of Stellenbosch, South Africa
Venue:
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Year:
2005

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Abstract

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.