Static and dynamic classifier fusion for character recognition

@article{Prevost1997StaticAD,
  title={Static and dynamic classifier fusion for character recognition},
  author={Lionel Prevost and Maurice Milgram},
  journal={Proceedings of the Fourth International Conference on Document Analysis and Recognition},
  year={1997},
  volume={2},
  pages={499-506 vol.2}
}
The authors introduce a new method for on-line character recognition based on the co-operation of two classifiers, a static one and a dynamic one. In fact, on-line and off-line recognition present very different qualities and small redundancy. Its complementary treatment can bring very interesting results. In their approach, each classifier which operates respectively on static and dynamic character properties, uses the k-nearest-neighbour algorithm. References have been selected previously… CONTINUE READING

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