Boosting bonsai trees for handwritten/printed text discrimination

@inproceedings{Ricquebourg2014BoostingBT,
  title={Boosting bonsai trees for handwritten/printed text discrimination},
  author={Yann Ricquebourg and Christian Raymond and Baptiste Poirriez and Aur{\'e}lie Lemaitre and Bertrand Co{\"u}asnon},
  booktitle={DRR},
  year={2014}
}
Boosting over decision-stumps proved its efficiency in Natural Language Processing essentially with symbolic features, and its good properties (fast, few and not critical parameters, not sensitive to over-fitting) could be of great interest in the numeric world of pixel images. In this article we investigated the use of boosting over small decision trees, in image classification processing, for the discrimination of handwritten/printed text. Then, we conducted experiments to compare it to usual… CONTINUE READING

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