Comparing Normalization and Adaptation Techniques for On-Line Handwriting Recognition

  title={Comparing Normalization and Adaptation Techniques for On-Line Handwriting Recognition},
  author={Anja Brakensiek and Andreas Kosmala and Gerhard Rigoll},
In this paper a writer-independent on-line handwriting recognition system is described comparing the influence of handwriting normalization and adaptation techniques on the recognition pe@ormance. Our Hidden Markov Model (HMM) -based recognition system for unconstrained German script can be adapted to the writing style of a new writer using d#erent adaptation techniques whereas the impact of preprocessing to normalize the pen-trajectory is examined. The performance of the resulting… CONTINUE READING
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