Mode detection in on-line pen drawing and handwriting recognition

@article{Willems2005ModeDI,
  title={Mode detection in on-line pen drawing and handwriting recognition},
  author={Don Willems and St{\'e}phane Rossignol and Louis Vuurpijl},
  journal={Eighth International Conference on Document Analysis and Recognition (ICDAR'05)},
  year={2005},
  pages={31-35 Vol. 1}
}
On-line pen input benefits greatly from mode detection when the user is in a free writing situation, where he is allowed to write, to draw, and to generate gestures. Mode detection is performed before recognition to restrict the classes that a classifier has to consider, thereby increasing the performance of the overall recognition. In this paper we present a hybrid system which is able to achieve a mode detection performance of 95.6% on seven classes; handwriting, lines, arrows, ellipses… CONTINUE READING

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  • In this paper we present a hybrid system which is able to achieve a mode detection performance of 95.6% on seven classes; handwriting, lines, arrows, ellipses, rectangles, triangles, and diamonds.

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