Combining Multiple Classifiers for Faster Optical Character Recognition

@inproceedings{Chellapilla2006CombiningMC,
  title={Combining Multiple Classifiers for Faster Optical Character Recognition},
  author={Kumar Chellapilla and Michael Shilman and Patrice Y. Simard},
  booktitle={Document Analysis Systems},
  year={2006}
}
Traditional approaches to combining classifiers attempt to improve classification accuracy at the cost of increased processing. They may be viewed as providing an accuracy-speed trade-off: higher accuracy for lower speed. In this paper we present a novel approach to combining multiple classifiers to solve the inverse problem of significantly improving classification speeds at the cost of slightly reduced classification accuracy. We propose a cascade architecture for combining classifiers and… CONTINUE READING
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