A Medical Knowledge Based Postprocessing Approach for Doctor's Handwriting Recognition

@article{Chen2010AMK,
  title={A Medical Knowledge Based Postprocessing Approach for Doctor's Handwriting Recognition},
  author={Qi Chen and T. Gong and Linlin Li and C. Tan and B. Pang},
  journal={2010 12th International Conference on Frontiers in Handwriting Recognition},
  year={2010},
  pages={45-50}
}
  • Qi Chen, T. Gong, +2 authors B. Pang
  • Published 2010
  • Computer Science
  • 2010 12th International Conference on Frontiers in Handwriting Recognition
In this paper, we propose a novel post processing approach for on-line handwriting recognition. Differing from the existing linguistic knowledge-based methods, we make use of domain specific knowledge to improve the performance of recognition. Our system recognizes doctor’s handwriting which often poses great challenges in readability, and then enhances the quality of recognized text by analyzing and restoring the text with a medical knowledge model. We show experiments with this approach on a… Expand
A New Approach to Information Retrieval based on Keyword Spotting from Handwritten Medical Prescriptions
Handwriting recognition of medical prescriptions has been a challenging problem over the recent years with constant research in providing possible accurate solutions. Indecipherable handwrittenExpand
Keyword spotting in doctor's handwriting on medical prescriptions
TLDR
A word spotting based information retrieval approach for medical prescriptions/reports written by doctors, and an efficient MLP (Multilayer Perceptron) based Tandem feature is proposed to improve the performance. Expand

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