Recovery of Drawing Order from Single-Stroke Handwriting Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating the Pen Trajectories of Static Signatures Using Hidden Markov Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Framework Toward Restoration of Writing Order from Single-Stroked Handwriting Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rule-based cleanup of on-line English ink notes
Pattern Recognition
Verification of dynamic curves extracted from static handwritten scripts
Pattern Recognition
Techniques for static handwriting trajectory recovery: a survey
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Animated construction of line drawings
Proceedings of the 2011 SIGGRAPH Asia Conference
Mobile vision-based sketch recognition with SPARK
Proceedings of the International Symposium on Sketch-Based Interfaces and Modeling
Recovering drawing order of single-stroke handwritten images using probabilistic tabu search
Journal of Mobile Multimedia
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This paper describes a method to recover the drawing order of a multi-stroke handwritten script from a binary 2D image. First, we construct a graph from the scanned image by applying the thinning process and extracting the skeletal pixels. Next, we identify the start or end vertices in the graph, and then globally analyze the graph to label the graph by determining the types of each vertex and each edge. Finally, we trace all the strokes using the labeling information and recover the drawing order.The method does not enumerate the possible drawing orders and does not cause a combinatorial explosion even if the script is very complex. By recovering the drawing order of a handwritten script, the temporal information can be recovered from a scanned image. Hence, this method will be used as a bridge from the off-line handwriting character recognition problem to the on-line one.