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ICDAR
2007
IEEE

Combining On-Line and Off-Line Systems for Handwriting Recognition

10 years 5 months ago
Combining On-Line and Off-Line Systems for Handwriting Recognition
In this paper we present a new multiple classifier system (MCS) for recognizing notes written on a whiteboard. This MCS combines one off-line and two on-line handwriting recognition systems derived from previous work. The recognizers are all based on Hidden Markov Models but vary in the way of preprocessing and normalization. To combine the output sequences of the recognizers, we incrementally align the word sequences using a standard string matching algorithm. For deriving the final decision a voting strategy is applied. With the combination we could increase the system performance over the best individual recognizer by about 2%.
Marcus Liwicki, Horst Bunke
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ICDAR
Authors Marcus Liwicki, Horst Bunke
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