Application of Multi-Level Classifiers and Clustering for Automatic Word Spotting in Historical Document Images

@article{Moghaddam2009ApplicationOM,
  title={Application of Multi-Level Classifiers and Clustering for Automatic Word Spotting in Historical Document Images},
  author={Reza Farrahi Moghaddam and Mohamed Cheriet},
  journal={2009 10th International Conference on Document Analysis and Recognition},
  year={2009},
  pages={511-515}
}
A complete system for preprocessing and word spotting of very old historical document images is presented. Document images are processed for extraction of salient information using a word spotting technique which does not need line and word segmentation and is language independent.A multi-class library of connected components of document text is created based on six features. The spotting is performed using Euclidean distance measure enhanced by rotation and dynamic time wrapping transforms… CONTINUE READING
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