Stroke Fragmentation based on Geometry Features and HMM

Guihuan Feng (1) , Christian Viard-Gaudin (1)

1 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes

Stroke fragmentation is one of the key steps in pen-based interaction. In this letter, we present a unified HMM-based stroke fragmentation technique that can do segment point location and primitive type determination simultaneously. The geometry features included are used to evaluate local features, and the HMM model is utilized to measure the global drawing context. Experiments prove that the model can efficiently represent smooth curves as well as strokes made up of arbitrary lines and circular arcs.

Mots clés: Pen-based interaction; stroke fragmentation; hidden markov model; hand-drawn sketch

Domaines: Traitement du texte et du document; Interface homme-machine [cs.HC]; Vision par ordinateur et reconnaissance de formes [cs.CV]

Guihuan Feng, Christian Viard-Gaudin. Stroke Fragmentation based on Geometry Features and HMM. 2007. ⟨hal-00344151⟩