Self-supervised writer adaptation using perceptive concepts : application to on-line text recognition

@article{Oudot2004SelfsupervisedWA,
  title={Self-supervised writer adaptation using perceptive concepts : application to on-line text recognition},
  author={Lo{\"i}c Oudot and Lionel Prevost and Alvaro Moises and Maurice Milgram},
  journal={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
  year={2004},
  volume={2},
  pages={598-601}
}
We recently designed a hand-printed text recognizer. The system is based on three set of experts respectively used to segment, classify and validate the text (with a French lexicon : 200K words). We present in this communication writer adaptation methods. The first is supervised by the user. The others are self-supervised strategies which compare classification hypothesis with lexical hypothesis and modify consequently classifier parameters. The last method increases the system accuracy and the… CONTINUE READING