Dynamic recognition in the omni-writer frame: Application to hand-printed text recognition

We present in this contribution a new system dedicated to the analysis of hand-printed dynamic text. It appears as an alternative to merchandized personal digital assistants (PDAs) which are very user restricting and automatic cursive word recognizers that have been developed in laboratories and have still not reached a marketable target in spite of their accuracy. The whole treatment process, from the acquisition to the efficient reading, is integrated in a user-friendly interface. The results on an omni-writer text database are very encouraging. They should be improved by using a new lexicon driven expert that adapts the recognition to the writer.