Using CONDENSATION Tracking to Recover Stroke Order of Chinese Calligraphic Handwritings with CCM

Stroke order is an intrinsic writing feature which is missing in off-line handwriting. Recovering stroke order from off-line handwriting is an important task by which the visualization of writing process is possible. Chinese Calligraphic handwriting is some different with western handwriting. Traditional method with assumption of the minimization of curvature between two adjacent line segments is not applicable for Chinese Calligraphic handwriting. We propose a new framework named Chinese Calligraphic Model (CCM). With this framework CONDENSATION algorithm - conditional density propagation over time is performed to find the best matching model in model database with the input pattern to recover stroke order. Experiments results show our method is a promising way to recover stroke order from Chinese Calligraphic handwriting based on CCM by CONDENSATION tracking.