Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation

@article{Weinman2007FastLS,
  title={Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation},
  author={J. J. Weinman and E. Learned-Miller and A. Hanson},
  journal={Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)},
  year={2007},
  volume={2},
  pages={979-983}
}
  • J. J. Weinman, E. Learned-Miller, A. Hanson
  • Published 2007
  • Computer Science
  • Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)
  • Using a lexicon can often improve character recognition under challenging conditions, such as poor image quality or unusual fonts. We propose a flexible probabilistic model for character recognition that integrates local language properties, such as bigrams, with lexical decision, having open and closed vocabulary modes that operate simultaneously. Lexical processing is accelerated by performing inference with sparse belief propagation, a bottom-up method for hypothesis pruning. We give… CONTINUE READING
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