Estimating the Pen Trajectories of Static Signatures Using Hidden Markov Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Time-efficient stroke extraction method for handwritten signatures
ACS'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science - Volume 7
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
Reconstructing the correct writing sequence from a set of chinese character strokes
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Web-based chinese calligraphy retrieval and learning system
ICWL'05 Proceedings of the 4th international conference on Advances in Web-Based Learning
Unified representation of online and offline hand drawn graphics using bezier curve approximation
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Hi-index | 0.00 |
This article addresses the problem in strokes extraction and stroke sequence estimation from a static signature. A new algorithm is proposed based on a simple but effective writer model. The results are encouraging.