A Hybrid On/Off Line Handwritten Signature Verification System
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
On-line handwritten digit recognition based on trajectory and velocity modeling
Pattern Recognition Letters
Offline signature verification system based on the online data
EURASIP Journal on Advances in Signal Processing
On-line Arabic handwriting recognition system based on visual encoding and genetic algorithm
Engineering Applications of Artificial Intelligence
Retrieval of online handwriting by synthesis and matching
Pattern Recognition
Analysis and modeling of naturalness in handwritten characters
IEEE Transactions on Neural Networks
Techniques for static handwriting trajectory recovery: a survey
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
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We exploit the Delta LogNormal theory, a powerful tool for the generation and modeling of rapid movements to generate curvilinear strokes and constituting letters that respect both the dynamics and the appearance of movements made by a human. A theoretical analysis of the effects of the various parameters of the model is carried out: first, to reduce the size of the representation space of the letter models; and second, to select the parameters that constitute the optimal conditions for representing various symbols.