Early feature stream integration versus decision level combination in a multiple classifier system for text line recognition

  • Authors:
  • Roman Bertolami;Horst Bunke

  • Affiliations:
  • University of Bern, Neubruckstrasse 10, CH-3012 Bern, Switzerland;University of Bern, Neubruckstrasse 10, CH-3012 Bern, Switzerland

  • Venue:
  • ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
  • Year:
  • 2006

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Abstract

This paper compares two different methods to combine feature streams to improve the performance of offline handwritten text line recognition systems. In both methods a pixel-based and a geometric feature stream are combined. The first method integrates the feature streams at an early stage whereas in the second method a combination step at the decision level is applied. In the experiments, the early integration approach outperforms the decision level combination as well as recognisers built from the individual feature streams.