Combining Multiple Classifiers for Faster Optical Character Recognition

  title={Combining Multiple Classifiers for Faster Optical Character Recognition},
  author={Kumar Chellapilla and Michael Shilman and Patrice Y. Simard},
  booktitle={Document Analysis Systems},
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
Highly Cited
This paper has 29 citations. REVIEW CITATIONS
18 Citations
7 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 18 extracted citations

Similar Papers

Loading similar papers…