A Flexible Recognition Engine for Complex On-line Handwritten Character Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Online Handwritten Shape Recognition Using Segmental Hidden Markov Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
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The recent development of new terminals such as phones, mobilecomputers, e-books, etc, raises the needs for new interface modalities, in order to replace or complement the traditional mouse/keyboard interface. Ideally, these new interfaces should use limited computing resources and should be easy to adapt to a specific user and to a large variety of user needs. We propose here a new handwriting recognition system that is an attempt to handle theseconstraints. We evaluate its performances and ability to adapt to new users on a part of the Unipen database.