A Novel Connectionist System for Unconstrained Handwriting Recognition

@article{Graves2009ANC,
  title={A Novel Connectionist System for Unconstrained Handwriting Recognition},
  author={A. Graves and Marcus Liwicki and S. Fern{\'a}ndez and Roman Bertolami and H. Bunke and J. Schmidhuber},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2009},
  volume={31},
  pages={855-868}
}
  • A. Graves, Marcus Liwicki, +3 authors J. Schmidhuber
  • Published 2009
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Recognizing lines of unconstrained handwritten text is a challenging task. The difficulty of segmenting cursive or overlapping characters, combined with the need to exploit surrounding context, has led to low recognition rates for even the best current recognizers. Most recent progress in the field has been made either through improved preprocessing or through advances in language modeling. Relatively little work has been done on the basic recognition algorithms. Indeed, most systems rely on… CONTINUE READING
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