Indirect Symbolic Correlation Apporoach to Unsegmented Text Recognition

@inproceedings{Nagy2003IndirectSC,
  title={Indirect Symbolic Correlation Apporoach to Unsegmented Text Recognition},
  author={George Nagy and Sharad C. Seth and Shashank K. Mehta and Yi Lin},
  year={2003}
}
During the last twenty years, most recognition engines for difficult to segment scripts have been built around Hidden Markov Models (HMMs). Parametric recognizers for unsegmented signals, like HMMs, are hard to train. In contrast, non-parametric classifiers, like Nearest-Neighbor, require only a labeled reference list. In this paper, we provide preliminary… CONTINUE READING