Neural Networks - Special issue on the global brain: imaging and modelling
Style-preserving English handwriting synthesis
Pattern Recognition
On-line handwritten digit recognition based on trajectory and velocity modeling
Pattern Recognition Letters
On-line Arabic handwriting recognition system based on visual encoding and genetic algorithm
Engineering Applications of Artificial Intelligence
Techniques for static handwriting trajectory recovery: a survey
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Global feature for online character recognition
Pattern Recognition Letters
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This paper studies the dependence betweengeometry and kinematics in handwriting generationMovements. Based on a handwriting generationmodel developed earlier, movements parameters areextracted directly from on-line recording of velocityprofiles. These parameters, which reflect dynamicprocess, are found to be highly related to thegeometry of handwriting movements.The overall approach is based upon thehypothesis that complex human movements can besegmented into, basic and simple units. In otherwords, due to the intrinsic properties of theneuromuscular system involved in a rapid writingtask, there is a class of simple movements, hereaftercalled strokes. More complex movements are thusgenerated by the addition of the various strokesbelonging to such a class.