MCS for Online Mode Detection: Evaluation on Pen-Enabled Multi-touch Interfaces

@article{Weber2011MCSFO,
  title={MCS for Online Mode Detection: Evaluation on Pen-Enabled Multi-touch Interfaces},
  author={Markus Weber and Marcus Liwicki and Yannik T. H. Schelske and Christopher Schoelzel and Florian Strauss and Andreas Dengel},
  journal={2011 International Conference on Document Analysis and Recognition},
  year={2011},
  pages={957-961}
}
This paper proposes a new approach for drawing mode detection in online handwriting. The system classifies groups of ink traces into several categories. The main contributions of this work are as follows. First, we improve and optimize several state-of-the-art recognizers by adding new features and applying feature selections. Second, we use several classifiers for the recognition. Third, we perform multiple classifier combination strategies for combining the outputs. Finally, a large… CONTINUE READING

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